Daniel Boley's Publications

• Sorted by Date •

Sorted by Date

• 2023 • 2022 • 2021 • 2020 • 2019 • 2018 • 2017 • 2016 • 2015 • 2014 • 2013 • 2012 • 2011 • 2010 • 2009 • 2008 • 2007 • 2006 • 2005 • 2004 • 2003 • 2002 • 2001 • 2000 • 1999 • 1998 • 1997 • 1996 • 1995 • 1994 • 1993 • 1992 • 1991 • 1990 • 1989 • 1988 • 1987 • 1986 • 1985 • 1984 • 1982 • 1981 • 1980 • 1978 • 1968 •

2023

• Daniel Boley, Maria Gini, and Yi Zhang. How do robot swarms behave? What graphs can tell us. In Autonomous Robots and Multirobot Systems (ARMS) 2023 Workshop at AAMAS 2023, May. 2023.
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2022

• Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B Melton Meaux, Nicholas E Ingraham andEric Murray, Daniel Boley, Sean Switzer, John L Burns, Kun Huang, Tadashi Allen, Scott D Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, and Christopher J Tignanelli. Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study. Radiology: Artificial Intelligence, 2022.
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• Y Zhang and D Boley. Nonlinear Multi-Objective Flux Balance Analysis of the Warburg Effect. J of Theoretical Biology, 550, Oct 2022.
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• Yi Zhang, Daniel Boley, John Harwell, and Maria Gini. A Correlated Random Walk Model to Rapidly Approximate Hitting Time Distributions in Multi-Robot Systems. In IAS-17 (17th International Conference on Intelligent Autonomous Systems), June 2022.
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2021

• Daniel Boley. On Fast Computation of Directed Graph Laplacian Pseudo-Inverse. Linear Algebra & Appl, 623:128–148, 2021.
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• Birra Taha, Daniel Boley, Ju Sun, and Clark Chen. State of Radiomics in Glioblastoma. J of Neurosurgery, 89(2):177–184, Apr 2021.
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• Birra Taha, Daniel Boley, Ju Sun, and Clark Chen. Potential and limitations of radiomics in neuro-oncology. Journal of Clinical Neuroscience, 90:206–211, Elsevier, 2021.
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• Birra Taha, Taihui Li, Daniel Boley, Clark Chen, and Ju Sun. Detection of isocitrate dehydrogenase mutated glioblastomas through anomaly detection analytics. J of Neurosurgery, 21(2):323–328, Apr 2021.
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2020

• Saurabh Agrawal, Michael Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, and Vipin Kumar. Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Transactions on Knowledge and Data Engineering, 32(9):1798–1811, 2020.
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• Tatiana Lenskaia and Daniel Boley. Prokaryote Autoimmunity in the Context of Self-Targeting by CRISPR-CAS systems. JBCB, 18(5), 2020.
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• Birra Taha, Taihui Li, Daniel Boley, Ju Sun, and Clark C Chen. Detection of Isocitrate Dehydrogenase Mutated Glioblastomas Through Anomaly Detection Analytics: A Pilot Study. Neurosurgery, 67(Supplement{\_}1), 11 2020.
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2019

• Alejandro Buendia and Daniel Boley. Random Walk Fundamental Tensor and Graph Importance Measures. In 2019 Int'l Workshop on Big Social Media Data Management and Analysis BSMDMA2019at IJCAI 2019, Aug. 2019.
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• Golshan Golnari, Zhi-Li Zhang, and Daniel Boley. Markov fundamental tensor and its applications to network analysis. Linear Algebra and Appl., 564:126–158, 2019.
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2018

• Tatiana Lenskaia and Daniel Boley. High-throughput Phage Screening to Predict Pathogenicity of E.coli strains. In ICML IJCAI 2018 Workshop on Computational Biology, July 2018.
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• Philip Möller, Xiaochen Liu, Daniel Boley, and Stefan Schuster. Linear Programming Model Can Explain Respiration of Fermentation Products. PlosOne, 13(2), 2018.
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2017

• Alejandro Buendia and Daniel Boley. Optimized Graph-Based Trust Mechanisms using Hitting Times. In AAMAS Intl Workshop on Trust in Agent Societies, May. 2017.
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• Ham Ching Lam, Xuan Bi, Srinand Sreevatsan, and Daniel Boley. Evolution and Vaccination of Influenza Virus. J Computational Biology, 24(8):787–798, 2017.
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• 
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• Shaozhe Tao, Yifan Sun, and Daniel Boley. Inverse Covariance Estimation with Structured Groups. In Intl Joint Conf on Artificial Intelligence, IJCAI 2017, Aug. 2017.
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2016

• S Tao, D Boley, and S Zhang. Local Linear Convergence of ISTA and FISTA on the LASSO Problem. SIAM J Optim., 26(1):313–336, 2016.
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• Shaozhe Tao, Yifan Sun, and Daniel Boley. Submatrix-constrained inverse covariance estimation. In NIPS Workshop on Learning in High Dimensions with Structure, 2016.
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2015

• Golshan Golnari, Daniel L. Boley, Yanhua Li, and Zhi-Li Zhang. Pivotality of Nodes in Reachability Problems Using Avoidance and Transit Hitting Time Metrics. In 7th Annual Workshop on Simplifying Complex Networks for Practitioners SIMPLEX 2015, May. 2015.
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• Ham Ching Lam, Srinand Sreevatsan, and Daniel Boley. Evolution and Vaccination of Influenza Virus. In IJCAI Bioinformatics and Artificial Intelligence (BAI) Workshop, July. 2015.
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• Stefan Schuster, Daniel Boley, Philip Möller, Heiko Stark, and Christoph Kaleta. Mathematical models for explaining the Warburg effect: a review focussed on ATP and biomass production. Biochemical Society Transactions, 43(6):1187–1194, Portland Press Limited, 2015.
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• Stefan Schuster, Daniel Boley, Philip Möller, and Christoph Kaleta. A minimal model for explaining the higher ATP production in the Warburgeffect. In German Conference on Bioinformatics GCB 2015, 2015.
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• Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, and Nikolaos Papanikolopoulos. Tensor Dictionary Learning for Positive Definite Matrices. IEEE Transactions on Image Processing, 24(11):4592–4601, 2015.
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• Shaozhe Tao, Shuzhong Zhang, and Daniel L. Boley. Convergence of Common Proximal Methods for L1 Regularized Least Squares. In Intl Joint Conf on Artificial Intelligence (IJCAI-15), 2015.
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• Shaozhe Tao, Shuzhong Zhang, and Daniel L. Boley. Local Linear Convergence of ISTA and FISTA on the LASSO Problem. In The International Symposium on Optimization, July 2015.
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2014

• Tom Bäckström, Johannes Fischer, and Daniel Boley. Implementation and Evaluation of the Vandermonde Transform. In The 2014 European Signal Processing Conference (EUSIPCO 2014), 2014.
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• Ham Ching Lam, Steve Cunningham, Srinand Sreevatsan, and Daniel Boley. High Throughput Genetic Sequence Analysis. In ACM Computer Frontiers CF'14, 2014.
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• Gyan Ranjan, Zhi-Li Zhang, and Daniel L. Boley. Incremental Computation of Pseudo-Inverse of Laplacian. In 8th Annual International Conference on Combinatorial Optimizationand Applications (COCOA 2014), 2014.
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• Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, and Nikolaos Papanikolopoulos. Tensor Sparse Coding for Positive Definite Matrices. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(3):592–605, 2014.
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2013

• Daniel Boley. Local Linear Convergence of the Alternating Direction Methodof Multipliers on Quadratic or Linear Programs. SIAM J. Optim., 23(4):2183–2207, 2013.
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• Dimitrije Jevremovic and Daniel Boley. Finding Minimal Generating Set for Metabolic Network with Reversible Pathways. BioSystems, 112(1):31–36, 2013.
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• Jaya Kawale and D. Boley. Constrained Spectral Clustering using L1 Regularization. In SIAM Data Mining Conf. SDM 13, pp. 103–111, 2013.
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• Yanhua Li, Zhi-Li Zhang, and Daniel Boley. From Shortest-path to All-path: The Routing Continuum Theory and its applications. IEEE Transactions on Parallel and Distributed Systems, 25(7):1745–1755, 2013.
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2012

• S. Acharyya, A. Banerjee, and D. Boley. Bregman Divergences and Triangle Inequality. In SIAM Data Mining Conf. SDM 13, pp. 476–484, 2012.
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• Dimitrije Jevremovic and Daniel Boley. Parallel Computation of Elementary Flux Modes in Metabolic Networks using Global Array. In 6th IEEE Conference on Partitioned Global Address Space Programming Models, 2012.
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• Ham Ching Lam, Srinand Sreevatsan, and Daniel Boley. Analyzing Influenza Virus Sequences Using Binary Encoding Approach. Scientific Programming, 20(1):3–13, 2012.
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• Gyan Ranjan, Zhi-Li Zhang, and Daniel L. Boley. On Estimating Hitting and Commute Times for Large Dense Digraphs. In SIAM Annual Meeting, July 2012.
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2011

• Daniel Boley, Gyan Ranjan, and Zhi-Li Zhang. Commute Times for a Directed Graph using an Asymmetric Laplacian. Linear Algebra and Appl., 435:224–242, 2011.
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• Yuan-Bei Deng and Daniel Boley. On Symmetric and Skew-Symmetric Solutions to a Procrustes Problem. In P. Van Dooren, S.P. Bhattacharyya, R.H. Chan, V. Olshevsky, and A. Routray, editors, Numerical Linear Algebra in Signals, Systems and Control, Lecture Notes in Electrical Eng., Springer, 2011.
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• Dimitrije Jevremovic, Cong T. Trinh, Friedrich Srienc, Carlos P. Sosa, and Daniel Boley. Parallelization of Nullspace Algorithm for the computation of metabolic pathways. Parallel Computing, 37(6-7):261–278, 2011.
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• Dimitrije Jevremovic, Carlos Sosa, and Daniel Boley. Divide-and-conquer approach to the parallel computation of elementary flux modes in metabolic networks. In HiCOMB 2011: Tenth IEEE International Workshop on High Performance Computational Biology, 2011.
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• Ham Ching Lam and Daniel Boley. Analyze Influenza Virus Sequences Using Binary Encoding Approach. In 11th International Workshop on Data Mining in Bioinformatics (BIOKDD'11), Aug. 2011.
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• Yanhua Li, Zhi-Li Zhang, and Daniel Boley. The Routing Continuum from Shortest-path to All-path: A Unifying Theory. In The 31st Int'l Conference on Distributed Computing Systems (ICDCS 2011), pp. 847–856, IEEE, 2011.
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• S. Pakhomov, E. Kaiser, D. Boley, S. Marino, and A. Knopman, D.and Birnbaum. Effects of age and dementia on temporal cycles in spontaneousspeech fluency. J. of Neurolinguistics., 24(6):619–635, 2011.
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• Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, and Nikolaos Papanikolopoulos. Positive Definite Dictionary Learning for Region Covariances. In IEEE Int'l Conf. on Comp. Vision (ICCV 2011), pp. 1013–1019, 2011.
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• H. Wang, A. Banerjee, and D. Boley. Common Component Analysis for Multiple Covariance Matrices. In KDD 2011: 17th ACM SIGKDD Conference on Knowledge Discovery andData Mining, 2011.
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2010

• Dimitrije Jevremovic, Cong T. Trinh, Friedrich Srienc, and Daniel Boley. On Algebraic Properties of Extreme Pathways in Metabolic Networks. J. Comp'l. Biology., 17(2):107–119, Feb. 2010.
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• Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, and Nikolaos Papanikolopoulos. Tensor Sparse Coding for Region Covariances. In European Conf. on Comp. Vision (ECCV 2010), pp. 722–735, LNCS 6314, Springer, 2010.
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• Thomas Vacek, John Joseph, and Daniel Boley. Discovering Generalized Concepts from Documents Using a Category Graph. In SIAM Text Mining Workshop 2010, 2010.
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2009

• A. Banerjee, D. Boley, and S. Acharyya. Symmetrized Bregman Divergences and Metrics. Snowbird Learning Workshop, 2009.
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• Dongwei Cao, Osama Masoud, Daniel Boley, and Nikolaos Papanikolopoulos. Human Motion Recognition Using Support Vector Machines. Computer Vision and Image Understanding, 113(10):1064–1075, 2009.
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• Yuanbei Deng and Daniel Boley. An optimal approximation problem for a matrix equation. Intl J of Computer Mathematics, 86(2):321–332, February 2009.
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• E. Kaiser, S. Pakhomov, D. Boley, and D. Knopman. Cognitive rhythms in patients with fronto-temporal lobar degeneration. In Aging and Speech Communication Conference, Oct. 2009.
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• David Littau and Daniel Boley. Clustering very large data sets using a low memory matrix factored representation. Computational Intelligence, 25(2):114–135, May 2009.
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• Ravishankar Sivalingam, Vassilios Morellas, Nikolaos Papanikolopoulos, and Daniel Boley. Metric Learning for Semi-Supervised Clustering of Region Covariance Descriptors. In Third ACM/IEEE International Conference on Distributed SmartCameras (ICDSC 2009), pp. 76–83, Aug 30-Sept 2 2009.
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2008

• Daniel Boley. Book Review of Introduction to Clustering Large and High-Dimensional Data (by Jacob Kogan). SIAM Review, 50(1):157–160, 2008.
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• Ham Ching Lam and Daniel Boley. Catching Old Influenza Virus with A New Markov Model. In 8th International Workshop on Data Mining in Bioinformatics (BIOKDD'08), pp. 38–43, Aug. 2008.
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• Ham Ching Lam and Daniel Boley. Probability Analysis and Modeling of Influenza Type A virus Hemagglutinin Gene with Markov Model. In 7th Annual International Conference on Computational Systems Bioinformatics, Aug. 2008.
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2007

• Dongwei Cao and Daniel Boley. A PAC Bound for Approximate Support Vector Machines. In SIAM Data Mining Conf. SDM 07, 2007.
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• Yuanbei Deng and Daniel Boley. On the Optimal Approximation for the Symmetric Procrustes Problems of the Matrix Equation $AXB=C$. In Seventh Int'l Conf on Computational and Mathematical Methods in Science and Engineering, pp. 159–168, June 20-23 2007.
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2006

• Dongwei Cao and Daniel Boley. On Approximate Solutions to Support Vector Machines. In SIAM Data Mining Conf. SDM 06, 2006.
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• Dongwei Cao, Osama Masoud, and Daniel Boley. Human Motion Recognition with a Convolution Kernel. In ICRA06, pp. 4270–4275, 2006.
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• M. Celik, B. M. Kazar, S. Shekhar, D. Boley, and D. Lilja. Spatial Dependency Modeling Using Spatial Auto-Regression. In Proceedings of the ICA Workshop on Geospatial Analysis and Modeling, pp. 186–197, 2006.
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• M. Celik, B. M. Kazar, S. Shekhar, and D. Boley. Parameter Estimation for the Spatial Autoregression Model: A Rigorous Approach. In Second NASA Data Mining Workshop: Issues and Applications in Earth Science, 2006.
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• H. C. Lam, M. Vazquez Garcia, B. Juneja, S. Fahrenkrug, and D. Boley. Gene Expression Analysis in Multi-Agent Environment. International Transactions on Systems and Applications, 1(1):35–42, 2006.
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• David Littau and Daniel Boley. Streaming Data Reduction Using Low-Memory Factored Representations. Journal of Information Sciences, 176(14):2016–2041, Elsevier, 2006.
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• Miguel Vazquez, Juan Pavon, Jorge J. Gomez-Sanz, Daniel Boley, Ham Ching Lam, and Scott Fahrenkrug. A Multi-Agent System Architecture for Knowledge Integration in Microarray Analysis. In KMO'2006: Knowledge Management in Organizations, pp. 120–127, National and University Library of Slovenia, 2006.
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2005

• S. Jensen, D. Boley, M. Gini, and P. Schrater. Non-stationary Policy Learning in 2-player Zero Sum Games. In Twentieth National Conf. on Artificial Intelligence, pp. 789–794, 2005.
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• S. Jensen, D. Boley, M. Gini, and P. Schrater. Rapid on-line temporal sequence prediction by an adaptive agent. In AAMAS 05, pp. 67–73, 2005.
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• D. Littau and D. Boley. Clustering Very Large Data Sets with Principal Direction Divisive Partitioning. In Grouping Multidimensional Data: Recent Advances in Clustering, pp. 107–134, 2005.
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• S. Watters, B. McInnes, D. McKoskey, T. Miller, D. Boley, M. Gini, W. Schuler, A. Polukeyeva, J. Gundel, S. Pakhomov, and G. Savova. Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution. In AAAI 2005 Spring Symposium: Knowledge Collection from Volunteer Contributors (KCVC05), 2005.
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• Man-Chung Yeung and Daniel Boley. Transpose-free Multiple Lanczos and Its Application to Padé Approximation. Journal of Computational and Applied Mathematics, 177(1):101–127, 2005.
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2004

• D. Boley and D.W Cao. Training Support Vector Machine using Adaptive Clustering. SDM'04 Fourth SIAM Conference on Data Mining, April 2004.
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• D. Cao, O. Masoud, D. Boley, and N. Papanikolopoulos. Online Motion Classification using Support Vector Machines. In ICRA04, pp. 2291–2296, 2004.
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• B. M. Kazar, S. Shekhar, D. J. Lilja, and D. Boley. A Parallel Formulation of the Spatial Auto-Regression Model for Mining Large Geo-Spatial Datasets. In Proc. of 2004 SIAM International Conf. on Data Mining, Workshop on High Performance and Distributed Mining (HPDM2004), 2004.
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• Sergio M. Savaresi and Daniel Boley. A comparative analysis on the bisecting K-means and the PDDP clustering algorithms. Intelligent Data Analysis, 8(4):345–362, 2004.
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2003

• D.W Cao and D. Boley. Training Support Vector Machine using Adaptive Clustering. IEEE Conf. on Data Mining, Workshop on clustering high dimensional datasets, Melbourne FL, Nov 2003.
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• D. Littau and D. Boley. Using Low-Memory Representations to Cluster Very Large Data Sets. SDM'03 Third SIAM Conference on Data Mining, May 2003.
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2002

• D. Boley. One-Sided Lanczos Method. CG50 Conference in honor of the 50th anniversary of the Conjugate Gradient Method., Zurich, Feb 2002.
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• D. Boley. Bauer-Fike theorem. In Encyclopaedia of Mathematics, Supplement III, pp. 61–62, 2002.
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• A Goel, S Ramaswamy, B V Ramarao, A Massoquete, and D Boley. Brownian Motion Random Walk Simulations in Actual 3D Structures of Paper and Board to Evaluate their Transport Properties. In Progress in Paper Physics Seminar, pp. 226–230, Sept 8-13 2002.
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• D. Littau and D. Boley. Using Low-Memory Approximations to Cluster Very Large Data Sets. SDM Workshop on data mining of high dimensional datasets, Arlington VA, Apr 2002.
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• M.L. Paustian, B.J. May, D. Cao, D. Boley, and V. Kapur. Transcriptional response of Pasteurella multocida to defined iron sources. J. Bacteriol., 184(23):6714–6720, Dec 2002.
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• S. Savaresi, D. Boley, S. Bittanti, and G. Gazzaniga. Cluster selection in divisive clustering algorithms. In Second SIAM International Conference on Data Mining (SDM'2002), pp. 299–314, 2002.
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2001

• D. Boley. Scalable Data Mining over the Web.. Computer Science & Eng. Open House, Oct 19 2001.
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• D. Boley. Data Mining of Gene Expression Data. Crossing Washington Avenue Workshop, Oct 24 2001.
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• D. Boley. A Scalable Hierarchical Algorithm for Unsupervised Clustering. In Data Mining for Scientific and Engineering Applications, pp. 383–400, 2001.
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• S. W. Kim and D. Boley. Building and Navigating a Network of Local Minima. J of Robotic Systems, 18(8):405–419, Aug 2001.
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• S. Savaresi and D. Boley . On the performance of bisecting K-means and PDDP. In First SIAM International Conference on Data Mining (SDM'2001), April 5-7 2001.
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2000

• J. I. Aliaga, D. L. Boley, R. W. Freund, and V. Hernandez. A Lanczos-Type Method for Multiple Starting Vectors. Math. Comp., 69(232):1577–1601, 2000.
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• D. Boley and T. Goehring. LQ-Schur Projection on Large Sparse Matrix Equations. Numerical Linear Algebra with Applications, 7(7-8):491–503, 2000.
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• D. Boley and M. Yeung. A transpose-free Lanczos method for multiple starting vectors and its application to Padé approximation. In Mathematical Theory of Networks and Systems, MTNS-2000, 2000.
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• G. Gini, E. Benfenati, and D. L. Boley. Clustering and classification techniques to assess aquatic toxicity. In Proc. Fourth Int'l IEEE Conf. on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, pp. 166–172, 1, September 2000.
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• D. McKoskey and D. Boley. Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning. In European Conference on Machine Learning, pp. 263–270, 2000.
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1999

• D. Boley, M. Gini, R. Gross, S. Han, K. Hastings, G. Karypis, V. Kumar, B. Mobasher, and J. Moore. Partitioning-Based Clustering for Web Document Categorization. Decision Support Systems, 27(3):329–341, Dec. 1999.
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• D. Boley, M. Gini, R. Gross, E.-H. (Sam) Han, K. Hastings, G. Karypis, V. Kumar, B. Mobasher, and J. Moore. Document Categorization and Query Generation on the World Wide Web Using WebACE. AI Review, 13(5-6):365–391, Dec. 1999.
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• D. Boley, V. Borst, and M. Gini. An Unsupervised Clustering Tool for Unstructured Data. In IJCAI99-Workshop “Machine Learning for Information Filtering”, 1999.
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• D. Boley and V. Borst. Unsupervised Updating of a Classification Tree in a Dynamic Environment. In Autonomous Agents'99 Conference, pp. 390–391, 1999.
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• N. Mastronardi and D. Boley. Computing the Smallest Eigenpair of a Symmetric Positive Definite Toeplitz Matrix. SIAM J. Sci. Comput., 20(5):1921–1927, 1999.
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1998

• D. Boley, F. Luk, and D. Vandevoorde. A Fast Method to Diagonalize a Hankel Matrix. Lin. Alg. & Appl., 284:41–52, 1998.
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• D. Boley, M. Gini, K. Hastings, B. Mobasher, and J. Moore. A Client-Side Web Agent for Document Categorization. J. Internet Research - Electronic Networking Applications and Policy, 8(5):387–399, 1998.
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• D. L. Boley. Principal Direction Divisive Partitioning. Data Mining and Knowledge Discovery, 2(4):325–344, Dec. 1998.
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• D. L. Boley. The Algebraic Structure of Pencils and Block Toeplitz Matrices. Lin. Alg. Appl., 279(1-3):255–279, 1998.
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• D. Boley and K. Sutherland. A Rapidly Converging Recursive Method for Mobile Robot Localization. Intl. J. Robotics Research, 17(10):1027–1039, Oct 1998.
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• D. Boley, M. Gini, K. Hastings, B. Mobasher, and and J. Moore. A Client-Side Agent for Document Categorization and Exploration. In Workshop on Innovative Internet Information Systems, pp. 23–36, June 1998.
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• D. Boley and M. Yeung. A transpose-free Lanczos method for multiple starting vectors and its application to Padé approximation. In Mathematical Theory of Networks and Systems, MTNS-98, pp. MA2, 1998.
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• D. Challou, D. Boley, M. Gini, V. Kumar, and C. Olson. Parallel Search Algorithms for Robot Motion Planning. In Practical Motion Planning in Robotics: Current Approaches and Future Directions, pp. 115–131, 1998.
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• S. Dutt and D. Boley. Rounding Errors. In Encyclopedia of Electrical and Electronics Engineering, 1998.
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• S. Han, D. Boley, M. Gini, R. Gross, K. Hastings, G. Karypis, V. Kumar, B. Mobasher, and J. Moore. WebACE: A Web Agent for Document Categorization and Exploration. In Proc. ACM Autonomous Agents'98 Conference, pp. 408–415, 1998.
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• S. Hosur, A. H. Tewfik, and D. Boley. ULV and Generalized ULV Subspace Tracking Adaptive Algorithms. IEEE Trans. Sig. Proc., 46(5):1282–1297, 1998.
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• S. Kim and D. Boley. Analytical Potential Fields and Control Strategies for Motion Planning. In Lecture Notes in Artificial Intelligence #1416, Tasks and Method in Applied Intelligence, 11th International Conference on Industrial & Engineering Applications of AI & Expert Systems (IEA-98-AIE), pp. 85–94, 1998.
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1997

• J. I. Aliaga, D. L. Boley, and V. Hernandez. The General Lanczos Method and MIMO Linear Systems. In European Control Conf., July 1997.
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• D. Boley, F. Luk, and D. Vandevoorde. Fast Identification of Impulse Response Modes via Krylov Space Methods. In 1997 Conf. on Dec. Contr., pp. 4384–4388 (FM14-3), Dec. 1997.
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• D. Boley, F. Luk, and D. Vandevoorde. A general Vandermonde factorization of a Hankel matrix. In Int'l Lin. Alg. Soc. (ILAS) Symp. on Fast Algorithms for Control, Signals and Image Processing, June 1997.
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• D. Boley, F. Luk, and D. Vandevoorde. Vandermonde Factorization of a Hankel Matrix. In Workshop on Scientific Computing 97, March 1997.
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• D. L. Boley and B. N. Datta. Numerical Methods for Linear Control Systems. In Systems and Control in the Twenty-First Century, pp. 51–74, 1997.
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• J. Moore, S. Han, D. Boley, M. Gini, R. Gross, K. Hastings, G. Karypis, V. Kumar, and and B. Mobasher. Web Page Categorization and Feature Selection Using Association Rule and Principal Component Clustering. In 7th Workshop on Information Technologies and Systems (WITS '97), pp. 21–30, Dec. 1997.
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• C. Peng, D. Boley, and P. Cheung. Finding Stationary Values of Constrained Rayleigh Quotients Arising from Waveguide Analysis. In PIERS 97, January 1997.
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• C. Peng and D. Boley. Nullspace Projected Arnoldi Method of Finding Stationary Values of Large Sparse Quadratic Ratio and Parallel Implementations. In Eighth SIAM Conference on Parallel Processing for Scientific Computing, March 1997.
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1996

• D. L. Boley, E. S. Steinmetz, and K. T. Sutherland. Robot Localization from Landmarks using Recursive Total Least Squares. In IEEE Intl. Conf. on Robotics and Automation 96, pp. 1381–1886, Apr. 1996.
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• D. L. Boley, J. Fischer, E. Steinmetz, N. P. Papanikolopoulos, and M. Nookala. Vehicle Localization using Multiple Navigation Aids. In CTS Transportation Conference, May 1996.
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• C. Peng and D. Boley. Methods for Large Sparse Eigenvalue Problems from Waveguide Analysis. In Annual Review of Progress in Applied Computational Electromagnetics 96, pp. 645–652, 1, 1996.
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1995

• E. Beltrami. On Bilinear Functions. In 3rd Int'l Workshop on SVD and Signal Processing, pp. 5–18, 1995.
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• D. L. Boley, G. H. Golub, S. Makar, N. Saxena, and E. J. McCluskey. Floating Point Fault Tolerance with Backward Error Assertions. IEEE Trans. Comput. (special issue on fault tolerant computing), 44(2):302–311, 1995.
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• D. L. Boley, E. S. Steinmetz, and K. T. Sutherland. Recursive Total Least Squares: An Alternative to the Discrete Kalman Filter in Robot Navigation. In Lecture Notes in Artificial Intelligence #1093, Intl. Workshop on Reasoning with Uncertainty in Robotics, pp. 221–234, Dec. 1995.
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• D. Challou, D. Boley, M. Gini, and V. Kumar. A Parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems. In IEEE Int'l Conf. on Robotics and Automation 1995, pp. 709–714, Sept. 1995.
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• S. Hosur, A. H. Tewfik, and D. Boley. Multiple Subspace ULV Algorithm and LMS Tracking. In 3rd Int'l Workshop on SVD and Signal Processing, pp. 295–302, 1995.
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1994

• H. Beke and D. L. Boley. Model Reduction via Matrix Pencil Approach. In Amer. Contr. Conf., pp. 1891–1895, 1994.
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• D. L. Boley and P. Van Dooren. Placing Zeroes and the Kronecker Canonical Form. Circ. Syst. & Signal Proc., 13(6):783–802, 1994.
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• D. L. Boley. Krylov Space Methods on State-Space Control Models. Circ. Syst. & Signal Proc., 13(6):733–758, 1994.
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• D. L. Boley and K. Sutherland. Vehicle Navigation with Heterogeneous Sensors. Center for Transporation Studies Conference, Minneapolis, May 1994.
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• B. Camel, D. Challou, D. Boley, M. Gini, and V. Kumar. Fast Motion Planning for Articulated Robots. In 1994 IEEE Int'l Conf. on Systems, Man, and Cybernetics, pp. 1622–1627, October 1994.
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• S. Hosur, A. H. Tewfik, and D. Boley. Generalized URV Subspace Tracking LMS Algorithm. In ICASSP-94, pp. 409–412, III, 1994.
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• P. Lau, N. P. Papanikolopoulos, and D. L. Boley. A Note on the Gabor-QR Decomposition. In First IEEE Int'l. Conf on Image Processing, pp. 815–819, Nov. 1994.
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1993

• J. Aliaga, V. Hernandez, and D. Boley. Using the Block Clustered Nonsymmetric Lanczos Algorithm to Solve Control Problems for MIMO Linear Systems. In Cornelius Lanczos Centenary Conference, pp. 387–389, December 1993.
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• J. Aliaga, V. Hernandez, and D. Boley. The Block Clustered Nonsymmetric Lanczos Algorithm. SIAM Conf. on Linear Algebra in Systems, Signals and Control, Seattle, August 1993.
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• H. Beke and D. L. Boley. Model Reduction via State Space Perturbations. In 31st Annual Allerton Conference on Communication, Control, and Computing, pp. 227–236, Sept. 1993.
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• D. L. Boley. Krylov Space Methods in Linear Control and Model Reduction: A Survey. In Cornelius Lanczos Centenary Conference, Raleigh NC, pp. 377–379, December 1993.
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• D. L. Boley. Fast Parallel Computation of Redundancy. In Teleoperation '93, Oct. 1993.
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• D. L. Boley and P. Van Dooren. Placing Zeroes and the Kronecker Canonical Form. In Linear Algebra for Large Scale and Real-Time Applications, pp. 353–354, NATO ASI Series E: Applied Sciences: 232, 1993.
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• D. L. Boley and K. T. Sutherland. Applications of the Recursively Updated Approximate SVD. SIAM Conf. on Linear Algebra in Systems, Signals and Control, Seattle, August 1993.
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• D. L. Boley and K. Sutherland. Recursive Total Least Squares. AMS Meeting on Applied Linear Algebra # 882, DeKalb, IL, May 1993.
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• D. L. Boley and W. S. Lu. Measuring How Far a Controllable System is from an Uncontrollable One. In Numerical Linear Algebra Techniques for Systems and Control, pp. 215–218, 1993.
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• P. Lau, N. P. Papanikolopoulos, and D. L. Boley. Gabor-QR Decomposition for Image Encoding. Electronics Letters, 29(25):2182–2183, 1993.
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• T. J. Lee, D. L. Boley, and F. T. Luk. Singular Value Decomposition on a 2-D Fat-Tree Architecture. In Sixth SIAM Conference on Parallel Processing for Scientific Computing, pp. 358–362, 1, 1993.
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• T. J. Lee, D. L. Boley, and F. T. Luk. Singular Value Computation on a Fat-Tree Network. In Trans. of the Tenth Army Conference on Applied Mathematics and Computing, pp. 143–152, 1993.
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• T. J. Lee, F. T. Luk, and D. L. Boley. Singular Value Decomposition on a Fat-Tree Architecture. In Linear Algebra for Large Scale and Real-Time Applications, pp. 231–240, NATO ASI Series E: Applied Sciences: 232, 1993.
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• M. Wang, E. B. Lee, and D. L. Boley. Stabilization of Linear Time Delay Systems by Hybrid Controllers. In Conf. Dec. and Contr., pp. 3815–3820, 1993.
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• M. Wang, E. B. Lee, and D. L. Boley. A New Approach to Stabilize Time Delay Systems. In Amer. Control Conf., pp. 516–520, June 1993.
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• M. Wang, E. B. Lee, and D. L. Boley. Approximation of a Parameter Perturbation Set by Convex Sets. In Amer. Control Conf., pp. 260–261, June 1993.
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1992

• D. L. Boley, T. J. Lee, and F. T. Luk. The Lanczos Algorithm and Hankel Matrix Factorization. Lin. Alg. & Appl., 172:109–133, 1992.
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• D. L. Boley, R. Brent, G. H. Golub, and F. T. Luk. Algorithmic Fault Tolerance Using the Lanczos Method. SIAM J. Matrix Anal, 13(1):312–332, 1992.
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• D. L. Boley, M. Wang, and E. B. Lee. Robust Stability for 2D Systems via a Lyapunov Equation Method. In Proc. Amer. Control Conf., pp. 2660–2661, June 1992.
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• D. L. Boley, M. Wang, and E. B. Lee. Robust Stability and Stabilization of Time Delay Systems in Real Parameter Space. In Proc. Amer. Control Conf., pp. 85–86, June 1992.
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• D. L. Boley. General Algorithm Based Error Correction Problem and Orthogonal Polynomials. In Trans. 9th Army Conf. on Applied Mathematics and Computing, Mpls., pp. 199–212, ARO report #92-1, March 1992.
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• D. L. Boley. Singular Value Decomposition on a Fat Tree. ARO Workshop on Vehicle Simulation, November 1992.
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• D. L. Boley, R Brent, G. Golub, and F. Luk, editors. SIAM Journal on Matrix Analysis, SIAM, Jan. 1992.
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• M. Wang, E. B. Lee, and D. L. Boley. A Simple Method To Determine the Stability and Margin of Stability of 2D Recursive Filters. IEEE Trans. Circuits and Systems - I: Fundamental Theory and Applications, 39(3):237–239, 1992.
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1991

• D. L. Boley and F. T. Luk. A Well Conditioned Checksum Scheme for Algorithmic Fault Tolerance. Integration, a VLSI Journal, 12:21–32, 1991.
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• D. L. Boley, S. Elhay, G. H. Golub, and M. H. Gutknecht. Nonsymmetric Lanczos and Finding Orthogonal Polynomials Associated With Indefinite Weights. Numerical Algorithms, 1:21–44, 1991.
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• D. L. Boley and G. H. Golub. The Nonsymmetric Lanczos Algorithm and Controllability. Systems and Control Letters, 16:97–105, 1991.
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• D. L. Boley, M. Wang, and E. B. Lee. Matrix Pencil and Matrix Measure Methods for Robust Stability in Real Parameter Spaces. In Proc. Conf. Dec. and Contr., pp. 411–415, Dec. 1991.
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• D. L. Boley. Orthogonal Polynomials, Hankel Matrices and the Lanczos Algorithm. In SPIE Proceedings, pp. 84–95, 1566, 1991.
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• D. L. Boley, E. B. Lee, and M. Wang. Matrix Pencil Method in Determining the Stability and Margin of Stability of 2D Recursive Filters. In MTNS 91 Conf., June 17-21 1991.
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• D. L. Boley. Error Correction via the Lanczos Process. 4th SIAM Conf. of Lin. Algebra, Mpls, Sept 1991.
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• D. L. Boley. Singular Pencils: Numerical Sensitivity of the Kronecker Form. 4th SIAM Conf. of Lin. Algebra, Mpls, Sept 1991.
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• D. L. Boley. The Nonsymmetric Matrix Lanczos Algorithm and Formally Orthogonal Polynomials. Second Midwest NA Day, Urbana, Ill., May 1991.
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• D. L. Boley. Error Correction Based on Sequences of Polynomials and the Lanczos Algorithm. Second NIU Conference on Linear Algebra, Numerical Linear Algebra and Applications, DeKalb, Ill., May 1991.
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1990

• D. L. Boley. Estimating the Sensitivity of the Algebraic Structure of Matrix Pencils With Simple Eigenvalue Estimates. SIAM J. Matrix Analysis, 11(4):632–643, 1990.
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• D. L. Boley and G. H. Golub. A Modified Nonsymmetric Lanczos Algorithm and Applications. In Second Intl. Workshop on Singular Value Decomposition and Signal Processing, pp. 189–196, June 25-27 1990.
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• D. L. Boley, H. Park, R. Maier, and P. Eberlein. The Parallel Solution of the Matrix Eigenproblem With Applications in Control Theory. In Signal Processing, Scattering and Operator Theory, and Numerical Methods, MTNS-89, pp. 373–380, 1990.
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• D. L. Boley. Estimating Distance To Uncontrollability - Upper and Lower Bounds. In Signal Processing, Scattering and Operator Theory, and Numerical Methods, MTNS-89, pp. 429–436, 1990.
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• D. L. Boley, M. M. Wang, and E. B. Lee. Numerical Algorithms for Stability Testing and Margin of Stability of 2D Recursive Filters via Eigenvalue Computation. SIAM Conference on Numerical Methods on Signals, Systems and Control, San Francisco, November 5-7 1990.
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• D. L. Boley and G. H. Golub. The Lanczos Expansion and Controllability/Observability. SIAM Conference on Numerical Methods on Signals, Systems and Control, San Francisco, November 1990.
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• D. L. Boley. Non-Symmetric Lanczos Algorithm and Controllability and Observability. First Midwest NA Day, Urbana IL, April 7, 1990.
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1989

• D. L. Boley, R. Maier, and J. Kim. A Parallel QR Algorithm for the Nonsymmetric Eigenvalue Problem. Computer Physics Communications, 53:61–70, 1989.
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• D. L. Boley, D. Truhlar, Y. Saad, R. E. Wyatt, and L. E. Collins, editors. Practical Iterative Methods for Large Scale Computations, North Holland, Amsterdam (NL), 1989.
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1988

• D. L. Boley, J. K. Kearney, and W. B. Thompson. Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-9(2):229–244, 1988.
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• D. L. Boley and R. Maier. Parallel Solution of the Eigenproblem on a Hypercube. SIAM National Meeting, Minneapolis, July 1988.
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• D. L. Boley and J. K. Kim. Parallel Solution of Nonsymmetric Eigenvector Problems. presented at Third SIAM Conf. on Applied Linear Algebra Madison, Wisc., May 1988.
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• D. L. Boley, D. Truhlar, Y. Saad, R. E. Wyatt, and L. E. Collins, editors. Computer Physics Communications, Elsevier, 1988.
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1987

• D. L. Boley. Computing the Rank Deficiency of Rectangular Matrix Pencils. Systems & Control Letters, 9:207–214, 1987.
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• D. L. Boley and G. H. Golub. A Survey of Matrix Inverse Eigenvalue Problems. Inverse Problems, 3:595–622, 1987.
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• D. L. Boley and W. S. Lu. On the Behavior of Almost Ill-Posed Linear Discrete-Time Systems. In Proc. 1987 American Control Conference, pp. 1914–1918, June 10-12 1987.
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• D. L. Boley and Y. C. You. Linear Optimal Control via Output Feedback. In Proc. IEEE 26th Conf. on Decision and Control, pp. 945–950, December 1987.
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1986

• D. L. Boley and W. S. Lu. Measuring How Far a Controllable System is from an Uncontrollable One. IEEE Trans. Auto. Contr., AC-31(3):249–252, March 1986.
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• D. L. Boley. Solving the Generalized Eigenvalue Problem on a Synchronous Linear Processor Array. Parallel Computing, 3(2):153–166, May 1986.
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• D. L. Boley. Computing the Rank Deficiency of Rectangular Matrix Pencils. In IEEE 25th Conf. on Decision and Control, pp. 554–557, Dec 10-12 1986.
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• D. L. Boley and S. Bittanti. Numerical Problems In Control Theory. In Time Series and Linear Systems, pp. 183–221, Springer Lecture Notes on Control and Information Sciences 86, August 1986.
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1985

• D. L. Boley. A Perturbation Result for Linear Control Problems. SIAM J. Algebraic & Discrete Methods, 6(1):66–72, January 1985.
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1984

• D. L. Boley and G. H. Golub. The Lanczos-Arnoldi Algorithm and Controllability. System and Control Letters, 4(6):317–324, Sept 1984.
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• D. L. Boley. Computing the Kalman Decomposition, An Optimal Method. IEEE Trans. Auto. Contr., AC-29(1):51–53, 1984.
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• D. L. Boley and G. H. Golub. A Modified Method for Reconstructing Periodic Jacobi Matrices. Math. Comp., 42(165):143–150, Jan 1984.
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• D. L. Boley and W. S. Lu. The Quasi-Kalman Decomposition and its Relation to State Feedback. In Proc. American Control Conf., pp. 772–775, June 1984.
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1982

• D. L. Boley, J. K. Kearney, and W. B. Thompson. Gradient-based Estimation of Disparity. In Proc. IEEE Conf. on Pattern Recognition and Image Processing, pp. 246–251, June 1982.
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• D. L. Boley. Computing the Kalman Decomposition, a Numerical Method. presented at the S.I.A.M. 30th Anniversary Meeting Stanford, Calif., July 1982.
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1981

• D. L. Boley, W. D. Gropp, and M. Theimer. A Method for Constructing Preprocessors. In Proc. Conference on the Computing Environment for Mathematical Software, pp. 22–23, J.P.L. publication no. 81-67, July 29-31 1981.
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1980

• D. L. Boley. On Kalman's Procedure for the Computation of the Controllability/Observability Canonical Form. S.I.A.M. Jour. Control and Optimization, 18(6):624–626, Nov 1980.
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• D. L. Boley, A. Emami-Naeini, and G. F. Franklin. A New Algorithm for Canonical Decomposition of Linear Systems. In Proc. 19th IEEE Conference on Decision and Control, pp. 199–200, Dec 1980.
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• D. L. Boley and G. H. Golub. Block Lanczos and Control Theory. presented at the Workshop on Numerics in Automatic Control, Lund, Sweden, Sept 1980.
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1978

• D. L. Boley and G. H. Golub. The Matrix Inverse Eigenvalue Problem for Periodic Matrices. In Fourth Conference on Basic Problems of Numerical Analysis (LIBLICE IV), pp. 63–78, Sept 1978.
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• D. L. Boley. Vectorization of some Block Relaxation Techniques, Some Numerical Experiments. In Proc. 1978 LASL Workshop on Vector and Parallel Processors, pp. 166–173, Los Alamos Scientific Laboratory report LA-7491-C, 1978.
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• D. L. Boley and G. H. Golub. Inverse Eigenvalue Problems for Band Matrices. In Lecture Notes on Mathematics, pp. 23–31, 630, Numerical Analysis, 1978.
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1968

• D. L. Boley. A General Criterion of Divisibility. The Mathematics Teacher, 61:501–502, May 1968.
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