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» REDUS: finding reducible subspaces in high dimensional data
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ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Human Detection Using Partial Least Squares Analysis
Significant research has been devoted to detecting people in images and videos. In this paper we describe a human detection method that augments widely used edge-based features ...
William Robson Schwartz, Aniruddha Kembhavi, David...
ECCV
2006
Springer
14 years 7 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys
SIAMJO
2010
100views more  SIAMJO 2010»
13 years 15 days ago
Explicit Sensor Network Localization using Semidefinite Representations and Facial Reductions
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
Nathan Krislock, Henry Wolkowicz
GLOBECOM
2007
IEEE
14 years 3 days ago
Initialization Techniques for Improved Convergence of LMS DFEs in Strong Interference Environments
— The least-mean square (LMS) decision-feedback equalizer (DFE) was previously shown [1], [2] to possess an extended convergence time in an interference limited environment. In [...
Arun Batra, James R. Zeidler, Aloysius A. Beex
PR
2008
129views more  PR 2008»
13 years 5 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park