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» Fast and robust discriminant analysis
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ECCV
2008
Springer
13 years 8 months ago
Discriminative Locality Alignment
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
Tianhao Zhang, Dacheng Tao, Jie Yang
JEI
2008
135views more  JEI 2008»
13 years 7 months ago
Face authentication using a hybrid approach
This paper presents a hybrid approach to face-feature extraction based on the trace transform and the novel kernel partial-least-squares discriminant analysis (KPA). The hybrid app...
Vitomir Struc, France Mihelic, Nikola Pavesic
ECCV
2010
Springer
13 years 8 months ago
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, ...
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
14 years 2 months ago
Fast Point Feature Histograms (FPFH) for 3D registration
— In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point clo...
Radu Bogdan Rusu, Nico Blodow, Michael Beetz
CVPR
2008
IEEE
14 years 9 months ago
Semi-Supervised Discriminant Analysis using robust path-based similarity
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
Yu Zhang, Dit-Yan Yeung