Liefeng Bo

	2011
36		Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: A Scalable Tree-Based Approach for Joint Object and Pose Recognition. AAAI 2011
35		Liefeng Bo, Kevin Lai, Xiaofeng Ren, Dieter Fox: Object recognition with hierarchical kernel descriptors. CVPR 2011: 1729-1736
34		Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: A large-scale hierarchical multi-view RGB-D object dataset. ICRA 2011: 1817-1824
33		Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: Sparse distance learning for object recognition combining RGB and depth information. ICRA 2011: 4007-4013
32		Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis LeGrand, Joshua R. Smith, Dieter Fox: Gambit: An autonomous chess-playing robotic system. ICRA 2011: 4291-4297
31		Liefeng Bo, Xiaofeng Ren, Dieter Fox: Depth kernel descriptors for object recognition. IROS 2011: 821-826
30		Liefeng Bo, Xiaofeng Ren, Dieter Fox: Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms. NIPS 2011: 2115-2123
29		Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu, Atul Kanaujia: Feature-Based Pose Estimation. Visual Analysis of Humans 2011: 225-251
	2010
28		Liefeng Bo, Xiaofeng Ren, Dieter Fox: Kernel Descriptors for Visual Recognition. NIPS 2010: 244-252
27		Liefeng Bo, Cristian Sminchisescu: Twin Gaussian Processes for Structured Prediction. International Journal of Computer Vision 87(1-2): 28-52 (2010)
	2009
26		Liefeng Bo, Cristian Sminchisescu: Structured output-associative regression. CVPR 2009: 2403-2410
25		Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu: Structural SVM for visual localization and continuous state estimation. ICCV 2009: 1157-1164
24		Dong Han, Liefeng Bo, Cristian Sminchisescu: Selection and context for action recognition. ICCV 2009: 1933-1940
23		Liefeng Bo, Cristian Sminchisescu: Efficient Match Kernel between Sets of Features for Visual Recognition. NIPS 2009: 135-143
22		Jian Peng, Liefeng Bo, Jinbo Xu: Conditional Neural Fields. NIPS 2009: 1419-1427
21		Jin Yuan, Liefeng Bo, Kesheng Wang, Tao Yu: Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression. Expert Syst. Appl. 36(2): 3982-3989 (2009)
20		Liefeng Bo, Cristian Sminchisescu: Supervised Spectral Latent Variable Models. Journal of Machine Learning Research - Proceedings Track 5: 33-40 (2009)
	2008
19		Liefeng Bo, Cristian Sminchisescu, Atul Kanaujia, Dimitris N. Metaxas: Fast algorithms for large scale conditional 3D prediction. CVPR 2008
18		Liefeng Bo, Cristian Sminchisescu: Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression. UAI 2008: 43-52
17		Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo: Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection. Evolutionary Computation 16(2): 225-255 (2008)
16		Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo, Maoguo Gong: Spectral Clustering Ensemble Applied to SAR Image Segmentation. IEEE T. Geoscience and Remote Sensing 46(7): 2126-2136 (2008)
15		Liefeng Bo, Ling Wang, Licheng Jiao: Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm. IEEE Transactions on Neural Networks 19(8): 1446-1455 (2008)
	2007
14		Liefeng Bo, Ling Wang, Licheng Jiao: Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal. PAKDD 2007: 35-46
13		Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo: Density-Sensitive Evolutionary Clustering. PAKDD 2007: 507-514
12		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		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		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		Ling Wang, Liefeng Bo, Licheng Jiao: Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition. ICONIP (2) 2006: 404-411
8		Liefeng Bo, Ling Wang, Licheng Jiao: Sparse Gaussian Processes Using Backward Elimination. ISNN (1) 2006: 1083-1088
7		Ling Wang, Liefeng Bo, Licheng Jiao: Sparse Kernel Ridge Regression Using Backward Deletion. PRICAI 2006: 365-374
6		Ling Wang, Liefeng Bo, Licheng Jiao: A Modified K-Means Clustering with a Density-Sensitive Distance Metric. RSKT 2006: 544-551
5		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		Liefeng Bo, Ling Wang, Licheng Jiao: Training Multi-layer Perceptrons Using MiniMin Approach. CIS (1) 2005: 909-914
3		Liefeng Bo, Ling Wang, Licheng Jiao: Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error. ISNN (1) 2005: 851-856
2		Liefeng Bo, Ling Wang, Licheng Jiao: Training Support Vector Machines Using Greedy Stagewise Algorithm. PAKDD 2005: 632-638
	2004
1		Liefeng Bo, Ling Wang, Licheng Jiao: Sparse Bayesian Learning Based on an Efficient Subset Selection. ISNN (1) 2004: 264-269

Coauthor Index

1	Roberto Aimi	[32]
2	Robert Chu	[32]
3	Marc Peter Deisenroth	[32]
4	Haifeng Du	[17]
5	Dieter Fox	[28] [30] [31] [32] [33] [34] [35] [36]
6	Maoguo Gong	[13] [16] [17]
7	Dong Han	[24]
8	Catalin Ionescu	[25] [29]
9	Licheng Jiao	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17]
10	Atul Kanaujia	[19] [29]
11	Mike Kung	[32]
12	Kevin Lai	[33] [34] [35] [36]
13	Louis LeGrand	[32]
14	Fang Liu	[16]
15	Cynthia Matuszek	[32]
16	Brian Mayton	[32]
17	Dimitris N. Metaxas	[19]
18	Jian Peng	[22]
19	Xiaofeng Ren	[28] [30] [31] [33] [34] [35] [36]
20	Cristian Sminchisescu	[18] [19] [20] [23] [24] [25] [26] [27] [29]
21	Joshua R. Smith	[32]
22	Kesheng Wang	[21]
23	Ling Wang	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15]
24	Jinbo Xu	[22]
25	Tao Yu	[21]
26	Jin Yuan	[21]
27	Xiangrong Zhang	[16]

Colors in the list of coauthors

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