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ICCV
2009
IEEE
16 years 8 months ago
Boundary Ownership by Lifting to 2.5D
This paper addresses the “boundary ownership” problem, also known as the figure/ground assignment problem. Estimating boundary ownerships is a key step in perceptual organiz...
Ido Leichter and Michael Lindenbaum
CVPR
2006
IEEE
16 years 5 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
ECCV
2002
Springer
16 years 5 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
INFOCOM
2007
IEEE
15 years 9 months ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang
139
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ASUNAM
2010
IEEE
15 years 4 months ago
COSI: Cloud Oriented Subgraph Identification in Massive Social Networks
Subgraph matching is a key operation on graph data. Social network (SN) providers may want to find all subgraphs within their social network that "match" certain query gr...
Matthias Bröcheler, Andrea Pugliese, V. S. Su...