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» Lower Bounds for Kernelizations
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121
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PODC
2009
ACM
16 years 1 months ago
Fast distributed random walks
Performing random walks in networks is a fundamental primitive that has found applications in many areas of computer science, including distributed computing. In this paper, we fo...
Atish Das Sarma, Danupon Nanongkai, Gopal Panduran...
127
Voted
CVPR
2007
IEEE
16 years 2 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
120
Voted
ECCV
2008
Springer
16 years 2 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
209
Voted
ICDE
2006
IEEE
160views Database» more  ICDE 2006»
16 years 2 months ago
Surface k-NN Query Processing
A k-NN query finds the k nearest-neighbors of a given point from a point database. When it is sufficient to measure object distance using the Euclidian distance, the key to effici...
Ke Deng, Xiaofang Zhou, Heng Tao Shen, Kai Xu 0003...
106
Voted
SIGSOFT
2004
ACM
16 years 1 months ago
Merging partial behavioural models
Constructing comprehensive operational models of intended system behaviour is a complex and costly task. Consequently, practitioners have adopted techniques that support increment...
Marsha Chechik, Sebastián Uchitel