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ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
MCS
2004
Springer
14 years 23 days ago
Multiple Classifiers System for Reducing Influences of Atypical Observations
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...
Sarunas Raudys, Masakazu Iwamura
ERCIMDL
2005
Springer
100views Education» more  ERCIMDL 2005»
14 years 28 days ago
Importance of HTML Structural Elements and Metadata in Automated Subject Classification
The aim of the study was to determine how significance indicators assigned to different Web page elements (internal metadata, title, headings, and main text) influence automated cl...
Koraljka Golub, Anders Ardö
CINQ
2004
Springer
157views Database» more  CINQ 2004»
13 years 11 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
AMS
2007
Springer
250views Robotics» more  AMS 2007»
13 years 11 months ago
SVMs for Vibration-Based Terrain Classification
When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn...
Christian Weiss, Matthias Stark, Andreas Zell