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» Using model knowledge for learning inverse dynamics
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IJET
2007
143views more  IJET 2007»
15 years 3 months ago
Adaptive learning scenarios for detection of misconceptions about electricity and remediation
— Our main objective is to model the knowledge used by learners in order to solve problems about electricity. We are searching means to do a diagnosis about student’s activity ...
Sandra Michelet, Jean-Michel Adam, Vanda Luengo
ICCV
2001
IEEE
16 years 5 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
144
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CVPR
2011
IEEE
14 years 12 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
ATAL
2007
Springer
15 years 9 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone
BSN
2006
IEEE
131views Sensor Networks» more  BSN 2006»
15 years 9 months ago
Elaborating Sensor Data using Temporal and Spatial Commonsense Reasoning
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
Bo Morgan, Push Singh