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JACIII
2006
97views more  JACIII 2006»
15 years 4 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
IJIM
2007
174views more  IJIM 2007»
15 years 4 months ago
Contextual Mobile Learning: A Step Further to Mastering Professional Appliances
—In this paper we describe our approach whose objective is to apply MOCOCO concepts to e-learning. After a short presentation of MOCOCO (Mobility, COoperation, Contextua-lisation...
Bertrand T. David, René Chalon, Olivier Cha...
TCSV
2008
174views more  TCSV 2008»
15 years 4 months ago
A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance
Abstract--This paper presents a survey of trajectory-based activity analysis for visual surveillance. It describes techniques that use trajectory data to define a general set of ac...
Brendan Tran Morris, Mohan M. Trivedi
IJOE
2008
122views more  IJOE 2008»
15 years 2 months ago
Mixed Reality Environment for Web-Based Laboratory Interactive Learning
: This paper presents a web-based laboratory for distance learners by incorporating simulation and hardware implementation into web-based e-learning systems. It presents a developm...
Kasim M. Al-Aubidy
ICCV
2009
IEEE
15 years 2 months ago
Unsupervised learning of high-order structural semantics from images
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang