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» Combinations of Weak Classifiers
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SAC
2008
ACM
13 years 7 months ago
Strangeness-based feature weighting and classification of gene expression profiles
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
Haifeng Shao, Bei Yu, Joseph H. Nadeau
DATE
2007
IEEE
110views Hardware» more  DATE 2007»
14 years 3 months ago
Nonlinearity analysis of Analog/RF circuits using combined multisine and volterra analysis
Abstract— Modern integrated radio systems require highly linear analog/RF circuits. Two-tone simulations are commonly used to study a circuit’s nonlinear behavior. Very often, ...
Jonathan Borremans, Ludwig De Locht, Piet Wambacq,...
ICASSP
2009
IEEE
14 years 3 months ago
Combining discriminative re-ranking and co-training for parsing Mandarin speech transcripts
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
Wen Wang
CVPR
2010
IEEE
14 years 2 months ago
Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao
ICDAR
2009
IEEE
14 years 3 months ago
Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition
With rejection strategies in a handwriting recognition system, we are able to improve the reliability and accuracy of the recognized characters. In this paper, we propose several ...
Xu-Cheng Yin, Hong-Wei Hao, Yun-Feng Tang, Jun Sun...