Sciweavers

495 search results - page 14 / 99
» Learning to generalize for complex selection tasks
Sort
View
ICCV
2009
IEEE
13 years 4 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
ESANN
2003
13 years 8 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
13 years 10 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
GRAPHICSINTERFACE
2009
13 years 4 months ago
QuickSelect: history-based selection expansion
When editing a graphical document, it is common to apply a change to multiple items at once, and a variety of tools exist for selecting sets of items. However, directly selecting ...
Sara L. Su, Sylvain Paris, Frédo Durand
NLE
2008
140views more  NLE 2008»
13 years 6 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne