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BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
16 years 29 days ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic
MSWIM
2009
ACM
16 years 29 days ago
Socially conscious channel selection in 802.11 WLANs for coexistence in a non-cooperative environment
The increasing number of independent IEEE 802.11 WLANs owned and managed by autonomous users has led to increased interference, resulting in performance degradation and unfairness...
Joo Ghee Lim, Chun Tung Chou, Sanjay Jha
ACIVS
2009
Springer
16 years 23 days ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
16 years 22 days ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
ICASSP
2008
IEEE
16 years 18 days ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...