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197
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CVPR
2010
IEEE
15 years 9 months ago
Novel Observation Model for Probabilistic Object Tracking
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
Dawei Liang, Qingming Huang, Hongxun Yao, Shuqiang...
146
Voted
ISCI
2008
83views more  ISCI 2008»
15 years 3 months ago
A diversity maintaining population-based incremental learning algorithm
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposit...
Mario Ventresca, Hamid R. Tizhoosh
145
Voted
ECCV
2010
Springer
15 years 8 months ago
What, Where & How Many? Combining Object Detectors and CRFs
Abstract. Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challeng...
151
Voted
CLEF
2009
Springer
15 years 4 months ago
Interactive Probabilistic Search for GikiCLEF
In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the GikiCLEF task of the QA track. Because the task was intended to model some aspec...
Ray R. Larson
144
Voted
ACCV
2009
Springer
15 years 10 months ago
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee