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» On the design of robust classifiers for computer vision
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CVPR
2006
IEEE
14 years 9 months ago
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures
Most algorithms for 3D reconstruction from images use cost functions based on SSD, which assume that the surfaces being reconstructed are visible to all cameras. This makes it dif...
Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. La...
BMVC
2010
13 years 2 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
HPDC
1998
IEEE
13 years 12 months ago
Matchmaking: Distributed Resource Management for High Throughput Computing
Conventional resource management systems use a system model to describe resources and a centralized scheduler to control their allocation. We argue that this paradigm does not ada...
Rajesh Raman, Miron Livny, Marvin H. Solomon
CVPR
2009
IEEE
15 years 2 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detectionâ...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie
CVPR
2004
IEEE
14 years 9 months ago
Cue Integration through Discriminative Accumulation
Object recognition systems aiming to work in real world settings should use multiple cues in order to achieve robustness. We present a new cue integration scheme which extends the...
Maria-Elena Nilsback, Barbara Caputo