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ICPR
2008
IEEE
16 years 21 days ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
CAIP
2007
Springer
117views Image Analysis» more  CAIP 2007»
16 years 13 days ago
Eigenmotion-Based Detection of Intestinal Contractions
Abstract. Intestinal contractions are one of the main features for analyzing intestinal motility and detecting different gastrointestinal pathologies. In this paper we propose Eig...
Laura Igual, Santi Seguí, Jordi Vitri&agrav...
ISMIS
2005
Springer
15 years 11 months ago
Semantic-Based Access to Digital Document Databases
Abstract. Discovering significant meta-information from document collections is a critical factor for knowledge distribution and preservation. This paper presents a system that im...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...
AMS
2007
Springer
250views Robotics» more  AMS 2007»
15 years 10 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
ESANN
2008
15 years 7 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...