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ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 5 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
IJCNN
2008
IEEE
13 years 11 months ago
Feature selection based on kernel discriminant analysis for multi-class problems
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Tsuneyoshi Ishii, Shigeo Abe
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 5 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
ICIP
2008
IEEE
13 years 11 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
ISSRE
2003
IEEE
13 years 10 months ago
A New Software Testing Approach Based on Domain Analysis of Specifications and Programs
Partition testing is a well-known software testing technique. This paper shows that partition testing strategies are relatively ineffective in detecting faults related to small sh...
Ruilian Zhao, Michael R. Lyu, Yinghua Min