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ICIP
2007
IEEE
15 years 8 months ago
Graph Cut Segmentation with Nonlinear Shape Priors
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
James G. Malcolm, Yogesh Rathi, Allen Tannenbaum
SIGIR
2006
ACM
15 years 8 months ago
Contextual search and name disambiguation in email using graphs
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
Einat Minkov, William W. Cohen, Andrew Y. Ng
108
Voted
JMLR
2011
145views more  JMLR 2011»
14 years 9 months ago
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
Jim C. Huang, Brendan J. Frey
TMM
2010
199views Management» more  TMM 2010»
14 years 9 months ago
Video Annotation Through Search and Graph Reinforcement Mining
Abstract--Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of th...
Emily Moxley, Tao Mei, Bangalore S. Manjunath
JMLR
2012
13 years 4 months ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss