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» Feature Selection and Effective Classifiers
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128
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ICIP
2009
IEEE
16 years 3 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
100
Voted
ICIP
2010
IEEE
15 years 21 days ago
Fast traumatic brain injury CT slice indexing via anatomical feature classification
Computed tomography (CT) is used widely in traumatic brain injury diagnosis. One axial brain CT scan consists of multiple slices with different heights along the brain axial direc...
Ruizhe Liu, Shimiao Li, Chew Lim Tan, Boon Chuan P...
125
Voted
ECIR
2010
Springer
15 years 4 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
96
Voted
JMLR
2010
110views more  JMLR 2010»
14 years 9 months ago
Attribute Selection Based on FRiS-Compactness
Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
Nikolay G. Zagoruiko, Irina V. Borisova, Vladimir ...
139
Voted
ICDAR
2009
IEEE
15 years 9 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia