| 2008 |
| 46 | EE | Jingu Kim,
Haesun Park:
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons.
ICDM 2008: 353-362 |
| 45 | EE | Haesun Park,
Jaegul Choo,
Barry L. Drake,
Jinwoo Kang:
Linear discriminant analysis for data with subcluster structure.
ICPR 2008: 1-4 |
| 44 | EE | Cheong Hee Park,
Haesun Park:
A comparison of generalized linear discriminant analysis algorithms.
Pattern Recognition 41(3): 1083-1097 (2008) |
| 2007 |
| 43 | 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 |
| 42 | EE | Hyunsoo Kim,
Haesun Park,
Hongyuan Zha:
Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization.
BIBE 2007: 263-269 |
| 41 | EE | Jaegul Choo,
Hyunsoo Kim,
Haesun Park,
Hongyuan Zha:
A Comparison of Unsupervised Dimension Reduction Algorithms for Classification.
BIBM 2007: 71-77 |
| 40 | 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 |
| 39 | EE | Hyunsoo Kim,
Haesun Park,
Hongyuan Zha:
Distance Preserving Dimension Reduction for Manifold Learning.
SDM 2007 |
| 38 | 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) |
| 37 | EE | Sangwook Lee,
Haesun Park,
Moongu Jeon:
Binary Particle Swarm Optimization with Bit Change Mutation.
IEICE Transactions 90-A(10): 2253-2256 (2007) |
| 36 | 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 |
| 35 | EE | Chris H. Q. Ding,
Tao Li,
Wei Peng,
Haesun Park:
Orthogonal nonnegative matrix t-factorizations for clustering.
KDD 2006: 126-135 |
| 34 | 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) |
| 33 | 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) |
| 32 | 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) |
| 31 | 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) |
| 30 | 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 |
| 29 | 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) |
| 28 | 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) |
| 27 | 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) |
| 26 | 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) |
| 25 | EE | Cheong Hee Park,
Haesun Park:
Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis.
Pattern Recognition 38(4): 495-503 (2005) |
| 2004 |
| 24 | EE | Hyunsoo Kim,
Gene H. Golub,
Haesun Park:
Imputation of Missing Values in DNA Microarray Gene Expression Data.
CSB 2004: 572-573 |
| 23 | EE | Hyunsoo Kim,
Haesun Park:
Incremental and Decremental Least Squares Support Vector Machine and Its Application to Drug Design.
CSB 2004: 656-657 |
| 22 | EE | Cheong Hee Park,
Haesun Park,
Panos M. Pardalos:
A Comparative Study of Linear and Nonlinear Feature Extraction Methods.
ICDM 2004: 495-498 |
| 21 | EE | Jieping Ye,
Ravi Janardan,
Qi Li,
Haesun Park:
Feature extraction via generalized uncorrelated linear discriminant analysis.
ICML 2004 |
| 20 | 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 |
| 19 | EE | Hyunsoo Kim,
Haesun Park:
Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model.
SDM 2004 |
| 18 | EE | Peg Howland,
Haesun Park:
Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis.
SDM 2004 |
| 17 | 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) |
| 16 | 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) |
| 15 | EE | Cheong Hee Park,
Haesun Park:
Nonlinear feature extraction based on centroids and kernel functions.
Pattern Recognition 37(4): 801-810 (2004) |
| 2003 |
| 14 | EE | Cheong Hee Park,
Haesun Park:
Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions.
ICDM 2003: 243-250 |
| 13 | 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 |
| 12 | EE | Lei Zhang,
Haesun Park,
J. Ben Rosen:
Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm.
Adv. Comput. Math. 19(1-3): 307-322 (2003) |
| 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) |