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» Training Data Selection for Support Vector Machines
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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 9 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
CVPR
2010
IEEE
13 years 9 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
SC
1995
ACM
14 years 22 days ago
Index Array Flattening Through Program Transformation
This paper presents techniques for compiling loops with complex, indirect array accesses into loops whose array references have at most one level of indirection. The transformatio...
Raja Das, Paul Havlak, Joel H. Saltz, Ken Kennedy
ICPR
2002
IEEE
14 years 10 months ago
View-Based Dynamic Object Recognition Based on Human Perception
Psychophysical studies have shown that humans actively exploit temporal information such as contiguity of images in object recognition. We have recently developed a recognition sy...
Arnulf B. A. Graf, Christian Wallraven, Heinrich H...
DMIN
2008
176views Data Mining» more  DMIN 2008»
13 years 10 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu