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EXPERT
2010
145views more  EXPERT 2010»
13 years 5 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
LREC
2008
146views Education» more  LREC 2008»
13 years 9 months ago
A Contextual Dynamic Network Model for WSD Using Associative Concept Dictionary
Many of the Japanese ideographs (Chinese characters) have a few meanings. Such ambiguities should be identified by using their contextual information. For example, we have an ideo...
Jun Okamoto, Kiyoko Uchiyama, Shun Ishizaki
ECCV
2004
Springer
14 years 9 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
ICWSM
2010
13 years 9 months ago
Modeling Group Dynamics in Virtual Worlds
In this study, we examine human social interactions within virtual worlds and address the question of how group interactions are affected by the surrounding game environment. To i...
Fahad Shah, Gita Reese Sukthankar, Chris Usher
BMCBI
2010
229views more  BMCBI 2010»
13 years 7 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck