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» Support vector machine for functional data classification
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144
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TNN
2010
176views Management» more  TNN 2010»
14 years 9 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
IJCNN
2006
IEEE
15 years 8 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
126
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BIOINFORMATICS
2006
129views more  BIOINFORMATICS 2006»
15 years 2 months ago
Predicting methylation status of CpG islands in the human brain
Motivation: Over 50% of human genes contain CpG islands in their 5'-regions. Methylation patterns of CpG islands are involved in tissue-specific gene expression and regulatio...
Fang Fang, Shicai Fan, Xuegong Zhang, Michael Q. Z...
97
Voted
TITB
2002
98views more  TITB 2002»
15 years 2 months ago
Fetal lung maturity analysis using ultrasound image features
This pilot study was carried out to find the feasibility of analyzing the maturity of the fetal lung using ultrasound images. Data were collected from normal pregnant women at inte...
K. N. Bhanu Prakash, A. G. Ramakrishnan, S. Suresh...
124
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PAMI
2008
302views more  PAMI 2008»
15 years 2 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos