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» A learning-based framework for depth ordering
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ICASSP
2011
IEEE
12 years 8 months ago
Proximal splitting methods for depth estimation
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In ...
Mireille El Gheche, Jean-Christophe Pesquet, Jouma...
CVPR
2010
IEEE
13 years 8 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
IRCDL
2008
13 years 6 months ago
A New Machine Learning Based Approach for Sentiment Classification of Italian documents
Several sites allow users to publish personal reviews about products and services available on the market. In this paper, we consider the problem of applying classification techniq...
Paolo Casoto, Antonina Dattolo, Paolo Omero, Nirma...
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
13 years 11 months ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
ICASSP
2008
IEEE
13 years 12 months ago
Abnormal event detection based on trajectory clustering by 2-depth greedy search
Clustering-based approaches for abnormal video event detection have been proven to be effective in the recent literature. Based on the framework proposed in our previous work [1],...
Fan Jiang, Ying Wu, Aggelos K. Katsaggelos