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EVENT
2001
267views more  EVENT 2001»
14 years 11 months ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah
ECML
2004
Springer
15 years 3 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst
ASPDAC
1999
ACM
98views Hardware» more  ASPDAC 1999»
15 years 2 months ago
Generation of Interpretive and Compiled Instruction Set Simulators
Abstract Due to the large variety of di erent embedded processor types, retargetable software development tools, such as compilers and simulators, have received attention recently....
Rainer Leupers, Johann Elste, Birger Landwehr
KBSE
2009
IEEE
15 years 4 months ago
Generating Fixes from Object Behavior Anomalies
Advances in recent years have made it possible in some cases to locate a bug (the source of a failure) automatically. But debugging is also about correcting bugs. Can tools do thi...
Valentin Dallmeier, Andreas Zeller, Bertrand Meyer
CVPR
2008
IEEE
16 years 4 days ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah