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» Learning Models for Object Recognition
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ICML
2009
IEEE
16 years 4 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
122
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CVPR
2007
IEEE
16 years 5 months ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal
136
Voted
CVPR
2009
IEEE
16 years 10 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
ICPR
2008
IEEE
15 years 9 months ago
Frame-skipping tracking for single object with global motion detection
Frame-skipping videos usually appear in wireless video sensor networks which have wirelessly interconnected devices that are able to ubiquitously retrieve video content from the e...
Ming Anlong, Ma Huadong
CVPR
2005
IEEE
16 years 5 months ago
ALIP: The Automatic Linguistic Indexing of Pictures System
In this demonstration, we present the Automatic Linguistic Indexing of Pictures (ALIP) system. The system annotates images with linguistic terms, chosen among hundreds of such ter...
Jia Li, James Ze Wang