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» Intra-Option Learning about Temporally Abstract Actions
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AI
2007
Springer
14 years 9 months ago
Learning, detection and representation of multi-agent events in videos
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
Asaad Hakeem, Mubarak Shah
78
Voted
ITS
2000
Springer
128views Multimedia» more  ITS 2000»
15 years 1 months ago
Active Learner Modelling
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
AAAI
2012
12 years 12 months ago
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...
ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
15 years 3 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
94
Voted
WAPCV
2007
Springer
15 years 3 months ago
Embodied Active Vision in Language Learning and Grounding
Abstract. Most cognitive studies of language acquisition in both natural systems and artificial systems have focused on the role of purely linguistic information as the central co...
Chen Yu