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ICCV
2009
IEEE
1191views Computer Vision» more  ICCV 2009»
15 years 5 days ago
3D Open-Surface Shape Correspondence for Statistical Shape Modeling: Identifying Topologically Consistent Landmarks
Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statisti...
Pahal Dalal, Lili Ju, Michael McLaughlin, Xiangron...
IJCAI
2003
13 years 9 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
CVPR
2010
IEEE
13 years 8 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 1 months ago
Phase transition in a random NK landscape model
An analysis for the phase transition in a random NK landscape model is given. For the fixed ratio model, NK(n, k, z), Gao and Culberson [17] showed that a random instance generat...
Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
NIPS
2004
13 years 9 months ago
Learning Hyper-Features for Visual Identification
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...