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CVPR
2011
IEEE
13 years 5 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
CRV
2005
IEEE
134views Robotics» more  CRV 2005»
14 years 2 months ago
Segment-Based Hand Pose Estimation
The work presented here solves two major problems of hand pose recognition: (A) determining what pose is shown in a given, input picture and (B) detecting the presence of a known ...
Christopher Schwarz, Niels da Vitoria Lobo
ICPR
2004
IEEE
14 years 10 months ago
Discriminatory Power of Handwritten Words for Writer Recognition
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer's handwriting. While allographs are usually ...
Bin Zhang, Catalin I. Tomai, Sargur N. Srihari
VISSYM
2007
13 years 11 months ago
Flexible And Topologically Localized Segmentation
One of the most common visualization tasks is the extraction of significant boundaries, often performed with isosurfaces or level set segmentation. Isosurface extraction is simple...
Gunnar Johansson, Ken Museth, Hamish Carr
MM
2003
ACM
84views Multimedia» more  MM 2003»
14 years 2 months ago
Temporal event clustering for digital photo collections
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...