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» Feature subset selection bias for classification learning
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ACCV
2007
Springer
15 years 1 months ago
A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
Yu-Ting Chen, Chu-Song Chen
ISMB
2000
14 years 11 months ago
Analysis of Gene Expression Microarrays for Phenotype Classification
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
Andrea Califano, Gustavo Stolovitzky, Yuhai Tu
AIRS
2008
Springer
15 years 4 months ago
Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach
We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem, aiming to assign appropriate weights for candidate expansion term...
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 10 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...
ICIP
2009
IEEE
15 years 10 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...