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» Unsupervised Learning of Invariant Features Using Video
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BIBE
2006
IEEE
138views Bioinformatics» more  BIBE 2006»
14 years 2 months ago
Assigning Schema Labels Using Ontology And Hueristics
Bioinformatics data is growing at a phenomenal rate. Besides the exponential growth of individual databases, the number of data depositories is increasing too. Because of the comp...
Xuan Zhang, Ruoming Jin, Gagan Agrawal
MM
2000
ACM
166views Multimedia» more  MM 2000»
14 years 1 months ago
Automatically extracting highlights for TV Baseball programs
In today’s fast-paced world, while the number of channels of television programming available is increasing rapidly, the time available to watch them remains the same or is decr...
Yong Rui, Anoop Gupta, Alex Acero
MM
2005
ACM
172views Multimedia» more  MM 2005»
14 years 2 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic
TRECVID
2008
13 years 10 months ago
National Institute of Informatics, Japan at TRECVID 2008
This paper reports our experiments for TRECVID 2008 tasks: high level feature extraction, search and contentbased copy detection. For the high level feature extraction task, we use...
Duy-Dinh Le, Xiaomeng Wu, Shin'ichi Satoh, Sheetal...
IVC
2006
187views more  IVC 2006»
13 years 8 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...