Haesun Park

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2011
67Sparse nonnegative matrix factorization for protein sequence motif discovery. Wooyoung Kim, Bernard Chen, Jingu Kim, Yi Pan, Haesun Park. Expert Syst. Appl. (38): 13198-13207 (2011). Web SearchBibTeXDownload
66Statistical Optimization of Non-Negative Matrix Factorization. Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park. Journal of Machine Learning Research - Proceedings Track (15): 128-136 (2011). Web SearchBibTeXDownload
65A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria. Yunlong He, Renato Monteiro, Haesun Park. SDM 2011, 771-782. Web SearchBibTeXDownload
2010
64PTAS for Minimum Connected Dominating Set with Routing Cost Constraint in Wireless Sensor Networks. Hongwei Du, Qiang Ye, Jioafei Zhong, Yuexuan Wang, Wonjun Lee, Haesun Park. COCOA (1) 2010, 252-259. Web SearchBibTeXDownload
63iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park. IEEE VAST 2010, 27-34. Web SearchBibTeXDownload
62Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest. Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, John T. Stasko. IEEE VAST 2010, 271-272. Web SearchBibTeXDownload
61GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation. Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, John T. Stasko. IEEE VAST 2010, 291-292. Web SearchBibTeXDownload
60Fast Active-set-type Algorithms for L1-regularized Linear Regression. Jingu Kim, Haesun Park. Journal of Machine Learning Research - Proceedings Track (9): 397-404 (2010). Web SearchBibTeXDownload
59p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park. SDM 2010, 502-513. Web SearchBibTeXDownload
2009
58Efficient GSVD Based Multi-User MIMO Linear Precoding and Antenna Selection Scheme. Jaehyun Park, Joohwan Chun, Haesun Park. ICC 2009, 1-6. Web SearchBibTeXDownload
57Two-stage framework for visualization of clustered high dimensional data. Jaegul Choo, Shawn Bohn, Haesun Park. IEEE VAST 2009, 67-74. Web SearchBibTeXDownload
56Data transformations and representations for computation and visualization. David J. Kasik, David S. Ebert, Guy Lebanon, Haesun Park, William M. Pottenger. Information Visualization (8): 275-285 (2009). Web SearchBibTeXDownload
55Hierarchical Linear Discriminant Analysis for Beamforming. Jaegul Choo, Barry L. Drake, Haesun Park. SDM 2009, 894-905. Web SearchBibTeXDownload
2008
54Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. Hyunsoo Kim, Haesun Park, Barry L. Drake. BMC Bioinformatics (9) (2008). Web SearchBibTeXDownload
53Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons. Jingu Kim, Haesun Park. ICDM 2008, 353-362. Web SearchBibTeXDownload
52Linear discriminant analysis for data with subcluster structure. Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang. ICPR 2008, 1-4. Web SearchBibTeXDownload
51A comparison of generalized linear discriminant analysis algorithms. Cheong Hee Park, Haesun Park. Pattern Recognition (41): 1083-1097 (2008). Web SearchBibTeXDownload
50Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method. Hyunsoo Kim, Haesun Park. SIAM J. Matrix Analysis Applications (30): 713-730 (2008). Web SearchBibTeXDownload
2007
49Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares. Hyunsoo Kim, Haesun Park, Lars Eldén. BIBE 2007, 1147-1151. Web SearchBibTeXDownload
48Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. Hyunsoo Kim, Haesun Park, Hongyuan Zha. BIBE 2007, 263-269. Web SearchBibTeXDownload
47A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha. BIBM 2007, 71-77. Web SearchBibTeXDownload
46Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis. Hyunsoo Kim, Haesun Park. Bioinformatics (23): 1495-1502 (2007). Web SearchBibTeXDownload
45Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations. Hyunsoo Kim, Haesun Park, Barry L. Drake. BMC Bioinformatics (8) (2007). Web SearchBibTeXDownload
44CallRank: Combating SPIT Using Call Duration, Social Networks and Global Reputation. Vijay Balasubramaniyan, Mustaque Ahamad, Haesun Park. CEAS 2007. Web SearchBibTeXDownload
43Binary Particle Swarm Optimization with Bit Change Mutation. Sangwook Lee, Haesun Park, Moongu Jeon. IEICE Transactions (90-A): 2253-2256 (2007). Web SearchBibTeXDownload
42Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares. Hyunsoo Kim, Haesun Park. ISBRA 2007, 477-487. Web SearchBibTeXDownload
41Multiclass classifiers based on dimension reduction with generalized LDA. Hyunsoo Kim, Barry L. Drake, Haesun Park. Pattern Recognition (40): 2939-2945 (2007). Web SearchBibTeXDownload
40Distance Preserving Dimension Reduction for Manifold Learning. Hyunsoo Kim, Haesun Park, Hongyuan Zha. SDM 2007. Web SearchBibTeXDownload
2006
39Missing value estimation for DNA microarray gene expression data: local least squares imputation. Hyunsoo Kim, Gene H. Golub, Haesun Park. Bioinformatics (22): 1410-1411 (2006). Web SearchBibTeXDownload
382nd Special issue on matrix computations and statistics. Jesse L. Barlow, Haesun Park, Patrick J. F. Groenen, Hongyuan Zha. Computational Statistics & Data Analysis (50): 1-4 (2006). Web SearchBibTeXDownload
37Discriminant analysis using nonnegative matrix factorization for nonparametric multiclass classification. Hyunsoo Kim, Haesun Park. GrC 2006, 182-187. Web SearchBibTeXDownload
36Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park. IEEE Trans. Knowl. Data Eng. (18): 1312-1322 (2006). Web SearchBibTeXDownload
35Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors. Hyunsoo Kim, Barry L. Drake, Haesun Park. IEEE Trans. Knowl. Data Eng. (18): 603-612 (2006). Web SearchBibTeXDownload
34Orthogonal nonnegative matrix t-factorizations for clustering. Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park. KDD 2006, 126-135. Web SearchBibTeXDownload
33Solving the small sample size problem in face recognition using generalized discriminant analysis. Peg Howland, Jianlin Wang, Haesun Park. Pattern Recognition (39): 277-287 (2006). Web SearchBibTeXDownload
2005
32Missing value estimation for DNA microarray gene expression data: local least squares imputation. Hyunsoo Kim, Gene H. Golub, Haesun Park. Bioinformatics (21): 187-198 (2005). Web SearchBibTeXDownload
31IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar. IEEE Trans. Knowl. Data Eng. (17): 1208-1222 (2005). Cited by 27Web SearchBibTeXDownload
30A three-stage framework for gene expression data analysis by L1-norm support vector regression. Hyunsoo Kim, Jeff X. Zhou, Herbert C. Morse III, Haesun Park. IJBRA (1): 51-62 (2005). Web SearchBibTeXDownload
29Dimension Reduction in Text Classification with Support Vector Machines. Hyunsoo Kim, Peg Howland, Haesun Park. Journal of Machine Learning Research (6): 37-53 (2005). Web SearchBibTeXDownload
28Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Cheong Hee Park, Haesun Park. Pattern Recognition (38): 495-503 (2005). Web SearchBibTeXDownload
27A Relationship between Linear Discriminant Analysis and the Generalized Minimum Squared Error Solution. Cheong Hee Park, Haesun Park. SIAM J. Matrix Analysis Applications (27): 474-492 (2005). Web SearchBibTeXDownload
26Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition. Cheong Hee Park, Haesun Park. SIAM J. Matrix Analysis Applications (27): 87-102 (2005). Web SearchBibTeXDownload
2004
25Imputation of Missing Values in DNA Microarray Gene Expression Data. Hyunsoo Kim, Gene H. Golub, Haesun Park. CSB 2004, 572-573. Web SearchBibTeXDownload
24Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design. Hyunsoo Kim, Haesun Park. CSB 2004, 656-657. Web SearchBibTeXDownload
23A Comparative Study of Linear and Nonlinear Feature Extraction Methods. Cheong Hee Park, Haesun Park, Panos M. Pardalos. ICDM 2004, 495-498. Web SearchBibTeXDownload
22Feature extraction via generalized uncorrelated linear discriminant analysis. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park. ICML 2004. Web SearchBibTeXDownload
21An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park. IEEE Trans. Pattern Anal. Mach. Intell. (26): 982-994 (2004). Web SearchBibTeXDownload
20Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition. Peg Howland, Haesun Park. IEEE Trans. Pattern Anal. Mach. Intell. (26): 995-1006 (2004). Web SearchBibTeXDownload
19IDR/QR: an incremental dimension reduction algorithm via QR decomposition. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar. KDD 2004, 364-373. Web SearchBibTeXDownload
18Nonlinear feature extraction based on centroids and kernel functions. Cheong Hee Park, Haesun Park. Pattern Recognition (37): 801-810 (2004). Web SearchBibTeXDownload
17Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis. Peg Howland, Haesun Park. SDM 2004. Web SearchBibTeXDownload
16Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model. Hyunsoo Kim, Haesun Park. SDM 2004. Web SearchBibTeXDownload
2003
15Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm. Lei Zhang, Haesun Park, J. Ben Rosen. Adv. Comput. Math. (19): 307-322 (2003). Web SearchBibTeXDownload
14Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. Cheong Hee Park, Haesun Park. ICDM 2003, 243-250. Web SearchBibTeXDownload
13A new optimization criterion for generalized discriminant analysis on undersampled problems. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park. ICDM 2003, 419-426. Web SearchBibTeXDownload
12DNA Screening, Pooling Design and Simplicial Complex. Haesun Park, Weili Wu, Zhen Liu, Xiaoyu Wu, Hong G. Zhao. J. Comb. Optim. (7): 389-394 (2003). Web SearchBibTeXDownload
11Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition. Peg Howland, Moongu Jeon, Haesun Park. SIAM J. Matrix Analysis Applications (25): 165-179 (2003). Web SearchBibTeXDownload
1994
10Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. Sabine Van Huffel, Haesun Park. Parallel Computing (20): 1107-1128 (1994). Web SearchBibTeXDownload
9On Competitive Group Testing. Ding-Zhu Du, Haesun Park. SIAM J. Comput. (23): 1019-1025 (1994). Web SearchBibTeXDownload
1993
8An Algorithm for the Generalized Singular Value Decomposition on Massively Parallel Computers. Haesun Park, L. Magnus Ewerbring. J. Parallel Distrib. Comput. (17): 267-276 (1993). Web SearchBibTeXDownload
7Fast QR Decomposition for Weighted Least Squares Problems. Andrew A. Anda, Haesun Park. PPSC 1993, 399-404. Cited by 1Web SearchBibTeX
1992
6On Multiple Error Detection in Matrx Triangularizations Using Checksum Methods. Haesun Park. J. Parallel Distrib. Comput. (14): 90-97 (1992). Web SearchBibTeXDownload
1991
5An algorithm for the generalized singular value decomposition on massively parallel computers. Haesun Park, L. Magnus Ewerbring. ICS 1991, 136-145. Web SearchBibTeXDownload
1990
4Efficient Implementation of Jacobi Algorithms and Jacobi Sets on Distributed Memory Architectures. Patricia J. Eberlein, Haesun Park. J. Parallel Distrib. Comput. (8): 358-366 (1990). Web SearchBibTeXDownload
1989
3A Proof of Convergence for Two Parallel Jacobi SVD Algorithms. Franklin T. Luk, Haesun Park. IEEE Trans. Computers (38): 806-811 (1989). Web SearchBibTeXDownload
1988
2Fault-Tolerant Matrix Triangularizations on Systolic Arrays. Franklin T. Luk, Haesun Park. IEEE Trans. Computers (37): 1434-1438 (1988). Web SearchBibTeXDownload
1An Analysis of Algorithm-Based Fault Tolerance Techniques. Franklin T. Luk, Haesun Park. J. Parallel Distrib. Comput. (5): 172-184 (1988). Web SearchBibTeXDownload
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References
1. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details
3. ^ UT Dallas Computer Science – Events - Retrieved 2011-03-19 - details
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