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» Efficient Inference in Persistent Dynamic Bayesian Networks
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IJCV
2007
134views more  IJCV 2007»
13 years 7 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
ICWN
2008
13 years 9 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou
IEAAIE
2007
Springer
14 years 1 months ago
Generating Cartoon-Style Summary of Daily Life with Multimedia Mobile Devices
Mobile devices are treasure boxes of personal information containing user’s context, personal schedule, diary, short messages, photos, and videos. Also, user’s usage informatio...
Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang
TSMC
2010
13 years 2 months ago
Efficient Sensor Selection for Active Information Fusion
In our previous paper [1], we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion. This paper focuses on a ce...
Yongmian Zhang, Qiang Ji
ICMLA
2008
13 years 9 months ago
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
Volker Willert, Julian Eggert, Marc Toussaint, Edg...