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» Discrete optimization in computer vision
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CVPR
2012
IEEE
13 years 7 months ago
Multi-class cosegmentation
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
Armand Joulin, Francis Bach, Jean Ponce
3DPVT
2006
IEEE
147views Visualization» more  3DPVT 2006»
15 years 11 months ago
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions
Detection of articulated objects such as humans is an important task in computer vision. We present a system that incorporates a variety of constraints in a unified multiview fra...
Abhinav Gupta, Anurag Mittal, Larry S. Davis
141
Voted
COMPGEOM
2006
ACM
15 years 11 months ago
Minimum-cost coverage of point sets by disks
We consider a class of geometric facility location problems in which the goal is to determine a set X of disks given by their centers (tj) and radii (rj) that cover a given set of...
Helmut Alt, Esther M. Arkin, Hervé Brö...
IPSN
2004
Springer
15 years 10 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
TVLSI
1998
122views more  TVLSI 1998»
15 years 4 months ago
Algorithm-based low-power transform coding architectures: the multirate approach
—In most low-power VLSI designs, the supply voltage is usually reduced to lower the total power consumption. However, the device speed will be degraded as the supply voltage goes...
An-Yeu Wu, K. J. Ray Liu