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» Choosing Multiple Parameters for Support Vector Machines
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AVSS
2003
IEEE
14 years 1 months ago
A Distributed Visual Surveillance System
We present a distributed vision-based surveillance system. The system acquires and processes grey level images through one or multiple Camera Units monitoring certain area(s) via ...
Xiaojing Yuan, Zehang Sun, Yaakov L. Varol, George...
DMIN
2006
115views Data Mining» more  DMIN 2006»
13 years 9 months ago
Development of a Multi-Classifier Approach for Multilingual Text Categorization
- Research work related to applying text categorization methods to a monolingual corpus such as English text collections has been well established by several research teams in rece...
Chung-Hong Lee, Hsin-Chang Yang, Ting-Chung Chen, ...
WWW
2005
ACM
14 years 8 months ago
An experimental study on large-scale web categorization
Taxonomies of the Web typically have hundreds of thousands of categories and skewed category distribution over documents. It is not clear whether existing text classification tech...
Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin ...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 1 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 8 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han