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» Selective Attention Improves Learning
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154
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ICCV
2009
IEEE
14 years 10 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu
106
Voted
CONSTRAINTS
1998
62views more  CONSTRAINTS 1998»
15 years 15 days ago
Learning Game-Specific Spatially-Oriented Heuristics
This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Susan L. Epstein, Jack Gelfand, Esther Lock
98
Voted
EWCBR
2000
Springer
15 years 4 months ago
Active Delivery for Lessons Learned Systems
Lessons learned processes, and software systems that support them, have been developed by many organizations (e.g., all USA military branches, NASA, several Department of Energy or...
Rosina Weber, David W. Aha, Héctor Mu&ntild...
IWC
2002
121views more  IWC 2002»
15 years 14 days ago
Discovering user communities on the Internet using unsupervised machine learning techniques
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
Georgios Paliouras, Christos Papatheodorou, Vangel...
113
Voted
ICML
2007
IEEE
16 years 1 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...