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» A Cluster Grouping Technique for Texture Segmentation
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FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
13 years 9 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
14 years 5 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
MICCAI
2010
Springer
13 years 3 months ago
Endoscopic Video Manifolds
Postprocedural analysis of gastrointestinal (GI) endoscopic videos is a difficult task because the videos often suffer from a large number of poor-quality frames due to the motion...
Selen Atasoy, Diana Mateus, Joe Lallemand, Alexand...
EDBT
2009
ACM
145views Database» more  EDBT 2009»
13 years 8 months ago
Efficient top-k count queries over imprecise duplicates
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...
Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasli...
ECCV
2004
Springer
14 years 6 months ago
Stereo Using Monocular Cues within the Tensor Voting Framework
We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficultie...
Philippos Mordohai, Gérard G. Medioni