Haesun Park

2008
43	EE	Cheong Hee Park, Haesun Park: A comparison of generalized linear discriminant analysis algorithms. Pattern Recognition 41(3): 1083-1097 (2008)
2007
42	EE	Hyunsoo Kim, Haesun Park, Lars Eldén: Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares. BIBE 2007: 1147-1151
41	EE	Hyunsoo Kim, Haesun Park, Hongyuan Zha: Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. BIBE 2007: 263-269
40	EE	Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha: A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. BIBM 2007: 71-77
39	EE	Hyunsoo Kim, Haesun Park: Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares. ISBRA 2007: 477-487
38	EE	Hyunsoo Kim, Haesun Park, Hongyuan Zha: Distance Preserving Dimension Reduction for Manifold Learning. SDM 2007
37	EE	Hyunsoo Kim, Haesun Park: Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis. Bioinformatics 23(12): 1495-1502 (2007)
36	EE	Sangwook Lee, Haesun Park, Moongu Jeon: Binary Particle Swarm Optimization with Bit Change Mutation. IEICE Transactions 90-A(10): 2253-2256 (2007)
35	EE	Hyunsoo Kim, Barry L. Drake, Haesun Park: Multiclass classifiers based on dimension reduction with generalized LDA. Pattern Recognition 40(11): 2939-2945 (2007)
2006
34	EE	Chris H. Q. Ding, Tao Li, Wei Peng, Haesun Park: Orthogonal nonnegative matrix t-factorizations for clustering. KDD 2006: 126-135
33	EE	Hyunsoo Kim, Gene H. Golub, Haesun Park: Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinformatics 22(11): 1410-1411 (2006)
32	EE	Jesse L. Barlow, Haesun Park, Patrick J. F. Groenen, Hongyuan Zha: 2nd Special issue on matrix computations and statistics. Computational Statistics & Data Analysis 50(1): 1-4 (2006)
31	EE	Jieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 18(10): 1312-1322 (2006)
30	EE	Hyunsoo Kim, Barry L. Drake, Haesun Park: Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors. IEEE Trans. Knowl. Data Eng. 18(5): 603-612 (2006)
29	EE	Peg Howland, Jianlin Wang, Haesun Park: Solving the small sample size problem in face recognition using generalized discriminant analysis. Pattern Recognition 39(2): 277-287 (2006)
2005
28	EE	Hyunsoo Kim, Gene H. Golub, Haesun Park: Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinformatics 21(2): 187-198 (2005)
27	EE	Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. 17(9): 1208-1222 (2005)
26	EE	Hyunsoo Kim, Jeff X. Zhou, Herbert C. Morse III, Haesun Park: A three-stage framework for gene expression data analysis by L1-norm support vector regression. IJBRA 1(1): 51-62 (2005)
25	EE	Hyunsoo Kim, Peg Howland, Haesun Park: Dimension Reduction in Text Classification with Support Vector Machines. Journal of Machine Learning Research 6: 37-53 (2005)
24	EE	Cheong Hee Park, Haesun Park: Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognition 38(4): 495-503 (2005)
2004
23	EE	Hyunsoo Kim, Gene H. Golub, Haesun Park: Imputation of Missing Values in DNA Microarray Gene Expression Data. CSB 2004: 572-573
22	EE	Hyunsoo Kim, Haesun Park: Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design. CSB 2004: 656-657
21	EE	Cheong Hee Park, Haesun Park, Panos M. Pardalos: A Comparative Study of Linear and Nonlinear Feature Extraction Methods. ICDM 2004: 495-498
20	EE	Jieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature extraction via generalized uncorrelated linear discriminant analysis. ICML 2004
19	EE	Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD 2004: 364-373
18	EE	Hyunsoo Kim, Haesun Park: Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model. SDM 2004
17	EE	Peg Howland, Haesun Park: Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis. SDM 2004
16	EE	Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 982-994 (2004)
15	EE	Peg Howland, Haesun Park: Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 995-1006 (2004)
14	EE	Cheong Hee Park, Haesun Park: Nonlinear feature extraction based on centroids and kernel functions. Pattern Recognition 37(4): 801-810 (2004)
2003
13	EE	Cheong Hee Park, Haesun Park: Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions. ICDM 2003: 243-250
12	EE	Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM 2003: 419-426
11	EE	Haesun Park, Weili Wu, Zhen Liu, Xiaoyu Wu, Hong G. Zhao: DNA Screening, Pooling Design and Simplicial Complex. J. Comb. Optim. 7(4): 389-394 (2003)
1994
10		Sabine Van Huffel, Haesun Park: Parallel Tri- and Bi-Diagonalization of Bordered Bidiagonal Matrices. Parallel Computing 20(8): 1107-1128 (1994)
9		Ding-Zhu Du, Haesun Park: On Competitive Group Testing. SIAM J. Comput. 23(5): 1019-1025 (1994)
1993
8		Andrew A. Anda, Haesun Park: Fast QR Decomposition for Weighted Least Squares Problems. PPSC 1993: 399-404
7		Haesun Park, L. Magnus Ewerbring: An Algorithm for the Generalized Singular Value Decomposition on Massively Parallel Computers. J. Parallel Distrib. Comput. 17(4): 267-276 (1993)
1992
6		Haesun Park: On Multiple Error Detection in Matrx Triangularizations Using Checksum Methods. J. Parallel Distrib. Comput. 14(1): 90-97 (1992)
1991
5	EE	Haesun Park, L. Magnus Ewerbring: An algorithm for the generalized singular value decomposition on massively parallel computers. ICS 1991: 136-145
1990
4		Patricia J. Eberlein, Haesun Park: Efficient Implementation of Jacobi Algorithms and Jacobi Sets on Distributed Memory Architectures. J. Parallel Distrib. Comput. 8(4): 358-366 (1990)
1989
3		Franklin T. Luk, Haesun Park: A Proof of Convergence for Two Parallel Jacobi SVD Algorithms. IEEE Trans. Computers 38(6): 806-811 (1989)
1988
2		Franklin T. Luk, Haesun Park: Fault-Tolerant Matrix Triangularizations on Systolic Arrays. IEEE Trans. Computers 37(11): 1434-1438 (1988)
1		Franklin T. Luk, Haesun Park: An Analysis of Algorithm-Based Fault Tolerance Techniques. J. Parallel Distrib. Comput. 5(2): 172-184 (1988)

Coauthor Index

1	Andrew A. Anda	[8]
2	Jesse L. Barlow	[32]
3	Jaegul Choo	[40]
4	Chris H. Q. Ding (Hong Q. Ding)	[34]
5	Barry L. Drake	[30] [35]
6	Ding-Zhu Du	[9]
7	Patricia J. Eberlein	[4]
8	Lars Eldén	[42]
9	L. Magnus Ewerbring	[5] [7]
10	Gene H. Golub	[23] [28] [33]
11	Patrick J. F. Groenen	[32]
12	Peg Howland	[15] [17] [25] [29]
13	Sabine Van Huffel	[10]
14	Ravi Janardan	[12] [16] [19] [20] [27] [31]
15	Moongu Jeon	[36]
16	Hyunsoo Kim	[18] [22] [23] [25] [26] [28] [30] [33] [35] [37] [38] [39] [40] [41] [42]
17	Vipin Kumar	[19] [27]
18	Sangwook Lee	[36]
19	Qi Li	[19] [20] [27] [31]
20	Tao Li	[34]
21	Zhen Liu	[11]
22	Franklin T. Luk	[1] [2] [3]
23	Herbert C. Morse III	[26]
24	Panos M. Pardalos	[21]
25	Cheong Hee Park	[12] [13] [14] [16] [21] [24] [43]
26	Wei Peng	[34]
27	Jianlin Wang	[29]
28	Weili Wu	[11]
29	Xiaoyu Wu	[11]
30	Hui Xiong	[19] [27]
31	Jieping Ye	[12] [16] [19] [20] [27] [31]
32	Hongyuan Zha	[32] [38] [40] [41]
33	Hong G. Zhao	[11]
34	Jeff X. Zhou	[26]

Colors in the list of coauthors