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» Application of Level Set Methods in Computer Vision
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CVPR
2009
IEEE
17 years 2 months ago
Shape Classification Through Structured Learning of Matching Measures
Many traditional methods for shape classification involve establishing point correspondences between shapes to produce matching scores, which are in turn used as similarity meas...
Longbin Chen, Julian John McAuley, Rogério ...
CVPR
2001
IEEE
16 years 9 months ago
Learning Spatially Localized, Parts-Based Representation
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
ICCV
2007
IEEE
16 years 9 months ago
PR: More than Meets the Eye
In this paper, we introduce a new image descriptor for broad Image Categorization, the Progressive Randomization (PR), that uses perturbations on the values of the Least Significa...
Anderson Rocha, Siome Goldenstein
193
Voted
ICCV
2003
IEEE
16 years 9 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
207
Voted
ICPR
2006
IEEE
16 years 8 months ago
Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition
In this paper we propose a novel scheme to combine offline and online features of handwritten strokes. The stateof-the-art methods in handwritten stroke recognition have used a pr...
C. V. Jawahar, Karteek Alahari, Satya Lahari Putre...