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» Situation Recognition: Representation and Algorithms
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ICASSP
2011
IEEE
12 years 11 months ago
Compression using self-similarity-based temporal super-resolution for full-exposure-time video
In order to allow sufficient amount of light into the image sensor, videos captured in poor lighting conditions typically have low frame rate and frame exposure time equals to in...
Mihoko Shimano, Gene Cheung, Imari Sato
COMPGEOM
2009
ACM
14 years 2 months ago
Persistent cohomology and circular coordinates
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
Vin de Silva, Mikael Vejdemo-Johansson
ICDT
2010
ACM
147views Database» more  ICDT 2010»
13 years 10 months ago
Querying Parse Trees of Stochastic Context-Free Grammars
Stochastic context-free grammars (SCFGs) have long been recognized as useful for a large variety of tasks including natural language processing, morphological parsing, speech reco...
Sara Cohen, Benny Kimelfeld
DGO
2006
134views Education» more  DGO 2006»
13 years 8 months ago
Next steps in near-duplicate detection for eRulemaking
Large volume public comment campaigns and web portals that encourage the public to customize form letters produce many near-duplicate documents, which increases processing and sto...
Hui Yang, Jamie Callan, Stuart W. Shulman
MM
2010
ACM
238views Multimedia» more  MM 2010»
13 years 7 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan