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» Feature Selection and Effective Classifiers
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138
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MICCAI
2010
Springer
15 years 15 days ago
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging
Recent advances in diffusion weighted MR imaging (dMRI) has made it a tool of choice for investigating white matter abnormalities of the brain and central nervous system. In this w...
Yogesh Rathi, James G. Malcolm, Oleg V. Michailovi...
103
Voted
ICIP
2008
IEEE
15 years 9 months ago
Blind image steganalysis based on run-length histogram analysis
In this paper, a new, simple but effective method is proposed for blind image steganalysis, which is based on run-length histogram analysis. Higher-order statistics of characteris...
Jing Dong, Tieniu Tan
140
Voted
ACL
2011
14 years 6 months ago
Semi-supervised Relation Extraction with Large-scale Word Clustering
We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based ...
Ang Sun, Ralph Grishman, Satoshi Sekine
146
Voted
TNN
2008
105views more  TNN 2008»
15 years 2 months ago
Incremental Learning of Chunk Data for Online Pattern Classification Systems
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
CVPR
2003
IEEE
16 years 4 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman