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» A selective sampling approach to active feature selection
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BIOCOMP
2006
13 years 11 months ago
An Approach to Selecting Putative RNA Motifs Using MDL Principle
The history of molecular biology is punctuated by a series of discoveries demonstrating the surprising breadth of biological roles of ribonucleic acid (RNA). An ensemble of evoluti...
Mohammad Anwar, Marcel Turcotte
CVPR
2005
IEEE
15 years 6 days ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
TSP
2010
13 years 4 months ago
On entropy rate for the complex domain and its application to i.i.d. sampling
We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...
ICPR
2010
IEEE
13 years 8 months ago
Ranking Model for Facial Age Estimation
Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the ha...
Peng Yang, Lin Zhong, Dimitris N. Metaxas
IBPRIA
2005
Springer
14 years 3 months ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro