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» Methods for Dynamic Classifier Selection
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IS
2010
13 years 7 months ago
ROC analysis of a fatigue classifier for vehicular drivers
— Few systems have been developed for the detection of fatigue / stress level of a vehicular driver in order to monitor and control the alertness level for preventing road accide...
Mahesh M. Bundele, Rahul Banerjee
TIP
2008
169views more  TIP 2008»
13 years 8 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
ICPR
2008
IEEE
14 years 10 months ago
Boosted cannabis image recognition
With the large number of Websites promoting the use of illicit drugs, it has become important to screen these sites for the protection of children on the Internet. Conventional ke...
J. Z. Wang, Nianhua Xie, Weiming Hu, Xi Li, Xiaoqi...
BMCBI
2010
111views more  BMCBI 2010»
13 years 9 months ago
Dynamic probe selection for studying microbial transcriptome with high-density genomic tiling microarrays
Background: Current commercial high-density oligonucleotide microarrays can hold millions of probe spots on a single microscopic glass slide and are ideal for studying the transcr...
Hedda Høvik, Tsute Chen
CVPR
2007
IEEE
14 years 11 months ago
Tensor Canonical Correlation Analysis for Action Classification
We introduce a new framework, namely Tensor Canonical Correlation Analysis (TCCA) which is an extension of classical Canonical Correlation Analysis (CCA) to multidimensional data ...
Tae-Kyun Kim, Shu-Fai Wong, Roberto Cipolla