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PAMI
2007
186views more  PAMI 2007»
13 years 8 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
KCAP
2009
ACM
14 years 3 months ago
POIROT: acquiring workflows by combining models learned from interpreted traces
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 2 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
EMNLP
2006
13 years 10 months ago
Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning
Combining fine-grained opinion information to produce opinion summaries is important for sentiment analysis applications. Toward that end, we tackle the problem of source corefere...
Veselin Stoyanov, Claire Cardie
IADIS
2004
13 years 10 months ago
Electronic case studies: a problem-based learning approach
E-Cases is an innovative approach to management development. Traditional case studies typically describe a decision or a problem in a real-life setting. E-Cases encourage students...
Philip M. Drinkwater, Christopher P. Holland, K. N...