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» Training Methods for Adaptive Boosting of Neural Networks
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MLDM
2007
Springer
15 years 3 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...

Publication
234views
13 years 27 days ago
Road Scene Understanding from a Single Image
Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...
Jose M. Alvarez, Theo Gevers, Yann LeCun, Antonio ...
TSMC
2002
142views more  TSMC 2002»
14 years 9 months ago
Adaptive color reduction
Abstract--This paper proposes a new algorithm for the reduction of the number of colors in an image. The proposed adaptive color reduction (ACR) technique achieves color reduction ...
Nikos Papamarkos, Antonios Atsalakis, Charalambos ...
77
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IWANN
1999
Springer
15 years 1 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
INFOCOM
2012
IEEE
13 years 3 days ago
Truthful prioritization schemes for spectrum sharing
Abstract—As the rapid expansion of smart phones and associated data-intensive applications continues, we expect to see renewed interest in dynamic prioritization schemes as a way...
Victor Shnayder, Jeremy Hoon, David C. Parkes, Vik...