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ICPR
2008
IEEE
14 years 2 months ago
Kernel Bisecting k-means clustering for SVM training sample reduction
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Xiao-Zhang Liu, Guo-Can Feng
ICNC
2005
Springer
14 years 1 months ago
Using SOFM to Improve Web Site Text Content
We introduce a new method to improve web site text content by identifying the most relevant free text in the web pages. In order to understand the variations in web page text, we c...
Sebastián A. Ríos, Juan D. Vel&aacut...
IWBRS
2005
Springer
145views Biometrics» more  IWBRS 2005»
14 years 1 months ago
Face Authentication Using One-Class Support Vector Machines
Abstract. This paper proposes a new method for personal identity verification based the analysis of face images applying One Class Support Vector Machines. This is a recently intr...
Manuele Bicego, Enrico Grosso, Massimo Tistarelli
ACSC
2004
IEEE
13 years 11 months ago
Strength Reduction for Loop-Invariant Types
Types are fundamental for enforcing levels of abstraction in modern high-level programming languages and their lower-level representations. However, some type-related features suc...
Phung Hua Nguyen, Jingling Xue
CIVR
2006
Springer
172views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Retrieving Shapes Efficiently by a Qualitative Shape Descriptor: The Scope Histogram
Abstract. Efficient image retrieval from large image databases is a challenging problem. In this paper we present a method offering constant time complexity for the comparison of t...
Arne Schuldt, Björn Gottfried, Otthein Herzog