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» Robust Principal Component Analysis for Computer Vision
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ICPR
2002
IEEE
14 years 18 days ago
Determining a Suitable Metric when Using Non-Negative Matrix Factorization
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or partbased representation of o...
David Guillamet, Jordi Vitrià
ICPR
2002
IEEE
14 years 18 days ago
Using Eigen-Deformations in Handwritten Character Recognition
Deformations in handwritten characters have classdependent tendencies. For example, characters of class “A” are often deformed by global slant transformation and never deforme...
Seiichi Uchida, Mohammad Asad Ronee, Hiroaki Sakoe
ECCV
2002
Springer
14 years 9 months ago
Finding the Largest Unambiguous Component of Stereo Matching
Abstract. Stereo matching is an ill-posed problem for at least two principal reasons: (1) because of the random nature of match similarity measure and (2) because of structural amb...
Radim Sára
CVPR
2000
IEEE
14 years 9 months ago
Segmenting Visual Actions Based on Spatio-Temporal Motion Patterns
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
Yong Rui, P. Anandan
ICPR
2006
IEEE
14 years 8 months ago
Multiple Object Tracking Using Local PCA
Tracking multiple interacting objects represents a challenging area in computer vision. The tracking problem in general can be formulated as the task of recovering the spatio-temp...
Bernhard Frühstück, Csaba Beleznai, Hors...