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183
Voted
SIAMMAX
2010
14 years 9 months ago
2010
The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...
156
Voted
TSP
2010
14 years 9 months ago
2010
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
124
Voted
WWW
2007
ACM
16 years 3 months ago
2007
ACM
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? This paper describes the design and implemen...
109
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed ...
150
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Robustness to illumination variations is a key requirement for the problem of change detection which in turn is a fundamental building block for many visual surveillance applicati...