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