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» Word Importance Discrimination Using Context Information
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130
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JUCS
2007
98views more  JUCS 2007»
15 years 3 months ago
Focus of Attention in Reinforcement Learning
Abstract: Classification-based reinforcement learning (RL) methods have recently been proposed as an alternative to the traditional value-function based methods. These methods use...
Lihong Li, Vadim Bulitko, Russell Greiner
142
Voted
IJAC
2011
14 years 7 months ago
The Subword Reversing Method
We summarize the main known results involving subword reversing, a method of semigroup theory for constructing van Kampen diagrams by referring to a preferred direction. In good ca...
Patrick Dehornoy
142
Voted
ISCIS
2005
Springer
15 years 9 months ago
Computing Communities in Large Networks Using Random Walks
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expe...
Pascal Pons, Matthieu Latapy
259
Voted
IWINAC
2011
Springer
14 years 6 months ago
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Abstract. One of the more important issues in intelligent video surveillance systems is the ability to handle events from the motion of objects. Thus, the classification of the tr...
Javier Acevedo-Rodríguez, Saturnino Maldona...
181
Voted
CVPR
2009
IEEE
16 years 11 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...