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» Feature selection based on the training set manipulation
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IBPRIA
2009
Springer
14 years 4 days ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
INTERSPEECH
2010
13 years 2 months ago
The role of higher-level linguistic features in HMM-based speech synthesis
We analyse the contribution of higher-level elements of the linguistic specification of a data-driven speech synthesiser to the naturalness of the synthetic speech which it genera...
Oliver Watts, Junichi Yamagishi, Simon King
ICMLA
2009
13 years 5 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
13 years 11 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...
GRC
2008
IEEE
13 years 8 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu