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Liefeng Bo

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2008
17EELiefeng Bo, Cristian Sminchisescu, Atul Kanaujia, Dimitris Metaxas: Fast algorithms for large scale conditional 3D prediction. CVPR 2008
16EELiefeng Bo, Cristian Sminchisescu: Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression. UAI 2008: 43-52
15EEMaoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo: Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection. Evolutionary Computation 16(2): 225-255 (2008)
2007
14EELiefeng Bo, Ling Wang, Licheng Jiao: Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal. PAKDD 2007: 35-46
13EEMaoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo: Density-Sensitive Evolutionary Clustering. PAKDD 2007: 507-514
12EELicheng Jiao, Liefeng Bo, Ling Wang: Fast Sparse Approximation for Least Squares Support Vector Machine. IEEE Transactions on Neural Networks 18(3): 685-697 (2007)
11EELiefeng Bo, Licheng Jiao, Ling Wang: Working Set Selection Using Functional Gain for LS-SVM. IEEE Transactions on Neural Networks 18(5): 1541-1544 (2007)
10EELiefeng Bo, Ling Wang, Licheng Jiao: Recursive Finite Newton Algorithm for Support Vector Regression in the Primal. Neural Computation 19(4): 1082-1096 (2007)
2006
9EELing Wang, Liefeng Bo, Licheng Jiao: Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition. ICONIP (2) 2006: 404-411
8EELiefeng Bo, Ling Wang, Licheng Jiao: Sparse Gaussian Processes Using Backward Elimination. ISNN (1) 2006: 1083-1088
7EELing Wang, Liefeng Bo, Licheng Jiao: Sparse Kernel Ridge Regression Using Backward Deletion. PRICAI 2006: 365-374
6EELing Wang, Liefeng Bo, Licheng Jiao: A Modified K-Means Clustering with a Density-Sensitive Distance Metric. RSKT 2006: 544-551
5EELiefeng Bo, Ling Wang, Licheng Jiao: Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation. Neural Computation 18(4): 961-978 (2006)
2005
4EELiefeng Bo, Ling Wang, Licheng Jiao: Training Multi-layer Perceptrons Using MiniMin Approach. CIS (1) 2005: 909-914
3EELiefeng Bo, Ling Wang, Licheng Jiao: Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error. ISNN (1) 2005: 851-856
2EELiefeng Bo, Ling Wang, Licheng Jiao: Training Support Vector Machines Using Greedy Stagewise Algorithm. PAKDD 2005: 632-638
2004
1EELiefeng Bo, Ling Wang, Licheng Jiao: Sparse Bayesian Learning Based on an Efficient Subset Selection. ISNN (1) 2004: 264-269

Coauthor Index

1Haifeng Du [15]
2Maoguo Gong [13] [15]
3Licheng Jiao [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15]
4Atul Kanaujia [17]
5Dimitris Metaxas [17]
6Cristian Sminchisescu [16] [17]
7Ling Wang [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)