2008 | ||
---|---|---|
53 | EE | Lichen Liang, Vladimir Cherkassky: Connection between SVM+ and multi-task learning. IJCNN 2008: 2048-2054 |
52 | EE | Xue Bai, Vladimir Cherkassky: Gender classification of human faces using inference through contradictions. IJCNN 2008: 746-750 |
2007 | ||
51 | EE | Lichen Liang, Vladimir Cherkassky: Learning Using Structured Data: Application to fMRI Data Analysis. IJCNN 2007: 495-499 |
50 | EE | Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky: Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007 |
49 | EE | Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés: Computational intelligence in earth and environmental sciences. Neural Networks 20(4): 433 (2007) |
2006 | ||
48 | EE | Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu: Efficient model selection for regularized linear discriminant analysis. CIKM 2006: 532-539 |
47 | EE | Tao Xiong, Jieping Ye, Vladimir Cherkassky: Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. CVPR (1) 2006: 125-131 |
46 | EE | Lichen Liang, Vladimir Cherkassky, David A. Rottenberg: Spatial SVM for feature selection and fMRI activation detection. IJCNN 2006: 1463-1469 |
45 | EE | Hui Gao, Vladimir Cherkassky: Real-Time Pricing of Mutual Funds. IJCNN 2006: 2402-2408 |
44 | EE | Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés: 2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. Neural Networks 19(2): 111 (2006) |
43 | EE | Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés: Computational intelligence in earth sciences and environmental applications: Issues and challenges. Neural Networks 19(2): 113-121 (2006) |
2005 | ||
42 | Vladimir Cherkassky, Yunqian Ma: Support vector machines and regularization. SIP 2005: 166-171 | |
2004 | ||
41 | EE | Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky: Efficient Kernel Discriminant Analysis via QR Decomposition. NIPS 2004 |
40 | EE | Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Cherkassky: Motion Estimation Using Statistical Learning Theory. IEEE Trans. Pattern Anal. Mach. Intell. 26(4): 466-478 (2004) |
39 | EE | Vladimir Cherkassky, Yunqian Ma: Practical selection of SVM parameters and noise estimation for SVM regression. Neural Networks 17(1): 113-126 (2004) |
2003 | ||
38 | EE | Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Cherkassky: Controlling Model Complexity in Flow Estimation. ICCV 2003: 908-914 |
37 | EE | Vladimir Cherkassky, Yunqian Ma: Comparison of Model Selection for Regression. Neural Computation 15(7): 1691-1714 (2003) |
2002 | ||
36 | EE | Vladimir Cherkassky, Yunqian Ma: Selection of Meta-parameters for Support Vector Regression. ICANN 2002: 687-693 |
35 | EE | Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Cherkassky: Motion Prediction Using VC-Generalization Bounds. ICPR (1) 2002: 151-154 |
34 | Vladimir Cherkassky: Model complexity control and statistical learning theory. Natural Computing 1(1): 109-133 (2002) | |
2001 | ||
33 | EE | Vladimir Cherkassky, Steven Kilts: Comparison of Wavelet Thresholding Methods for Denoising ECG Signals. ICANN 2001: 625-629 |
32 | EE | Vladimir Cherkassky, Xuhui Shao: Signal estimation and denoising using VC-theory. Neural Networks 14(1): 37-52 (2001) |
31 | EE | Vladimir Cherkassky, Steven Kilts: Myopotential denoising of ECG signals using wavelet thresholding methods. Neural Networks 14(8): 1129-1137 (2001) |
2000 | ||
30 | Shi Zhong, Vladimir Cherkassky: Image Denoising Using Wavelet Thresholding and Model Selection. ICIP 2000 | |
29 | Xuhui Shao, Vladimir Cherkassky, William Li: Measuring the VC-Dimension Using Optimized Experimental Design. Neural Computation 12(8): 1969-1986 (2000) | |
1999 | ||
28 | EE | Vladimir Cherkassky, Xuhui Shao, Filip Mulier, Vladimir Vapnik: Model complexity control for regression using VC generalization bounds. IEEE Transactions on Neural Networks 10(5): 1075-1089 (1999) |
1998 | ||
27 | Rahul Singh, Nikolaos Papanikolopoulos, Vladimir Cherkassky: Object Skeletons from Sparse Shapes in Industrial image Settings. ICRA 1998: 3388-3393 | |
1995 | ||
26 | EE | Reza Rooholamini, Vladimir Cherkassky: ATM-Based Multimedia Servers. IEEE MultiMedia 2(1): 39-52 (1995) |
25 | EE | Filip Mulier, Vladimir Cherkassky: Self-organization as an iterative kernel smoothing process. Neural Computation 7(6): 1165-1177 (1995) |
24 | EE | Filip Mulier, Vladimir Cherkassky: Statistical analysis of self-organization. Neural Networks 8(5): 717-727 (1995) |
1994 | ||
23 | Reza Rooholamini, Vladimir Cherkassky: Moving ATM Closer to Multimedia Applications. LCN 1994: 278-287 | |
22 | Reza Rooholamini, Vladimir Cherkassky, Mark Garver: Finding the Right ATM Switch for the Market. IEEE Computer 27(4): 16-28 (1994) | |
21 | EE | Kalavai J. Raghunath, Vladimir Cherkassky: Noise Performance of Linear Associative Memories. IEEE Trans. Pattern Anal. Mach. Intell. 16(7): 757-765 (1994) |
20 | EE | Young-Keun Park, Vladimir Cherkassky: Neural Network for Control of Rearrangeable Clos Networks. Int. J. Neural Syst. 5(3): 195-205 (1994) |
1993 | ||
19 | EE | Hossein Lari-Najafi, Vladimir Cherkassky: Adaptive knot Placement for Nonparametric Regression. NIPS 1993: 247-254 |
1992 | ||
18 | EE | Ee-Peng Lim, Vladimir Cherkassky: Semantic Networks and Associative Databases: Two Approaches to Knowledge Representation and Reasoning. IEEE Expert 7(4): 31-40 (1992) |
17 | EE | Vladimir Cherkassky, Hossein Lari-Najafi: Data Representation for Diagnostic Neural Networks. IEEE Expert 7(5): 43-53 (1992) |
1991 | ||
16 | Vladimir Cherkassky, Reza Rooholamini, Hossein Lari-Najafi: Fault-Tolerant Communications Processing. FTCS 1991: 344-351 | |
15 | Vladimir Cherkassky, Karen Fassett, Nikolaos Vassilas: Linear Algebra Approach to Neural Associative Memories and Noise Performance of Neural Classifiers. IEEE Trans. Computers 40(12): 1429-1435 (1991) | |
14 | EE | Vladimir Cherkassky, Malathi Rao, Harry Wechsler: Fault-tolerant database using distributed associative memories. Inf. Sci. 53(1-2): 135-158 (1991) |
13 | EE | Vladimir Cherkassky, Hossein Lari-Najafi: Constrained topological mapping for nonparametric regression analysis. Neural Networks 4(1): 27-40 (1991) |
1990 | ||
12 | EE | Vladimir Cherkassky, Hossein Lari-Najafi, Norman L. Lawrie, Derek Masson, David W. Pritty: Performance of a new LAN for real-time traffic. Computer Communications 13(5): 259-266 (1990) |
1989 | ||
11 | Vladimir Cherkassky, Miroslaw Malek: Partitioning and Permuting Properties of CC-Banyan Networks. IEEE Trans. Computers 38(2): 274-278 (1989) | |
1988 | ||
10 | Vladimir Cherkassky, Hossein Lari-Najafi, Norman L. Lawrie, Derek Masson, David W. Pritty: An Architectural Development and Performance of a Real Time LAN. ICDCS 1988: 189-196 | |
9 | Vladimir Cherkassky: Performance Evaluation of Neurectangular Multistage Interconnection Networks. IEEE Trans. Computers 37(10): 1269-1272 (1988) | |
8 | Jois Malathi Char, Vladimir Cherkassky, Harry Wechsler, George Lee Zimmerman: Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories. IEEE Trans. Computers 37(4): 484-490 (1988) | |
1987 | ||
7 | Vladimir Cherkassky: A Coding Scheme for Concurrent Error Detection/Correction In Multistage Interconnection Networks. ICPP 1987: 755-758 | |
6 | Vladimir Cherkassky, Miroslaw Malek: Graceful Degradation of Multiprocessor Systems. ICPP 1987: 885-888 | |
1986 | ||
5 | Vladimir Cherkassky: Performance of Non-Rectangular Multistage Interconnection Networks. ICDCS 1986: 2-7 | |
4 | Vladimir Cherkassky, Miroslaw Malek: Analysis of CC-Banyan Networks. ICPP 1986: 115 | |
3 | Vladimir Cherkassky, Larry L. Kinney: A Group Probing Strategy for Testing Large Number of Chips. ITC 1986: 853-856 | |
1985 | ||
2 | Vladimir Cherkassky, Miroslaw Malek, G. Jack Lipovski: Fail-Softness Analysis of Tree-Based Local Area Networks. ICDCS 1985: 380-385 | |
1 | Vladimir Cherkassky, Miroslaw Malek: On Permuting Properties of Regular Rectangular SW-Banyans. IEEE Trans. Computers 34(6): 542-546 (1985) |