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» An Algorithm for Iterative Selection of Blocks of Features
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JAIR
2010
131views more  JAIR 2010»
13 years 5 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
JVCIR
2006
126views more  JVCIR 2006»
13 years 7 months ago
Efficient intra- and inter-mode selection algorithms for H.264/ AVC
Intra-frame mode selection and inter-frame mode selection are new features introduced in the H.264 standard. Intra-frame mode selection dramatically reduces spatial redundancy in ...
Andy C. Yu, King Ngi Ngan, Graham R. Martin
ICCSA
2007
Springer
14 years 1 months ago
Fast Inter-skip Mode Selection Algorithm for Inter Frame Coding in H.264/AVC
The H.264/AVC provides gains in compression efficiency of up to 50% over a wide range of bit rates and video resolutions compared to previous standards. However, these features inc...
Sung-Hoon Jeon, Sung-Min Kim, Ki-Dong Chung
ICCV
2007
IEEE
14 years 9 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing