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» Data Mining via Support Vector Machines
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SIGIR
2005
ACM
15 years 3 months ago
Text classification with kernels on the multinomial manifold
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...
Dell Zhang, Xi Chen, Wee Sun Lee
ICADL
2005
Springer
91views Education» more  ICADL 2005»
15 years 3 months ago
Image Classification for Digital Archive Management
As tools and systems for producing and disseminating image data have improved significantly in recent years, the volume of digital images has grown rapidly. An efficient mechanism ...
Cheng-Hung Li, Chih-Yi Chiu, Hsiang-An Wang
ICNC
2005
Springer
15 years 3 months ago
Multi-view Face Recognition with Min-Max Modular SVMs
Abstract. Through task decomposition and module combination, minmax modular support vector machines (M3 -SVMs) can be successfully used for difficult pattern classification task. ...
Zhi-Gang Fan, Bao-Liang Lu
SETN
2004
Springer
15 years 3 months ago
A Meta-classifier Approach for Medical Diagnosis
Abstract. Single classifiers, such as Neural Networks, Support Vector Machines, Decision Trees and other, can be used to perform classification of data for relatively simple proble...
George L. Tsirogiannis, Dimitrios S. Frossyniotis,...
ACCV
2009
Springer
15 years 1 months ago
Efficient Classification of Images with Taxonomies
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld