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129
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NIPS
2001
15 years 4 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
160
Voted
CVPR
2011
IEEE
14 years 11 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...
146
Voted
TCSV
2010
14 years 10 months ago
Group Event Detection With a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recog...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
ICASSP
2010
IEEE
15 years 3 months ago
Noise robust exemplar-based connected digit recognition
This paper proposes a noise robust exemplar-based speech recognition system where noisy speech is modeled as a linear combination of a set of speech and noise exemplars. The metho...
Jort F. Gemmeke, Tuomas Virtanen
173
Voted
IS
2012
13 years 11 months ago
On the refactoring of activity labels in business process models
Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred mode...
Henrik Leopold, Sergey Smirnov 0002, Jan Mendling