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HUMO
2007
Springer
15 years 10 months ago
Recognizing Activities with Multiple Cues
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
Rahul Biswas, Sebastian Thrun, Kikuo Fujimura
CVIU
2004
132views more  CVIU 2004»
15 years 3 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment
: Personalized Education (PE) emphasizes the importance of individual differences in learning. To deliver personalized e-learning services and content, PE encompasses the abilities...
Apple W. P. Fok, H. S. Wong, Y. S. Chen
WMTE
2005
IEEE
15 years 9 months ago
A Multi-Model Approach for Supporting the Personalization of Ubiquitous Learning Applications
An additional platform for supporting learning in the same physical space in which it takes place, is now available owing to the continuous advancement of wireless and mobile tech...
Rosa G. J. Paredes, Hiroaki Ogata, Yoneo Yano, Ger...
ECAI
2008
Springer
15 years 5 months ago
Online Rule Learning via Weighted Model Counting
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
Frédéric Koriche