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» Statistical Method of Recognizing Local Cohesion
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COLING
1996
13 years 6 months ago
Statistical Method of Recognizing Local Cohesion
This paper presents a method for automatically recognizing local cohesion between utterances, which is one of the discourse structures in task-oriented spoken dialogues. More spec...
Naoto Katoh, Tsuyoshi Morimoto
EVENT
2001
139views more  EVENT 2001»
13 years 6 months ago
Hierarchical Motion History Images for Recognizing Human Motion
There has been a recent and increasing interest in computer analysis and recognition of human motion. Previously we presented an efficient real-time approach for representing huma...
James W. Davis
CVPR
2010
IEEE
1248views Computer Vision» more  CVPR 2010»
14 years 1 months ago
Food Recognition Using Statistics of Pairwise Local Features
Food recognition is difficult because food items are deformable objects that exhibit significant variations in appearance. We believe the key to recognizing food is to exploit the...
Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukth...
14
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ICPR
2006
IEEE
1161views computer vision» more  ICPR 2006»
14 years 6 months ago
Local Binary Pattern Descriptors for Dynamic Texture Recognition
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with concaten...
Guoying Zhao, Matti Pietikäinen
CVPR
2009
IEEE
15 years 16 days ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa