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» On the Noise Model of Support Vector Machines Regression
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ICONIP
2008
13 years 9 months ago
Automatic Particle Detection and Counting by One-Class SVM from Microscope Image
Asbestos-related illnesses become a nationwide problem in Japan. Now human inspectors check whether asbestos is contained in building material or not. To judge whether the specimen...
Hinata Kuba, Kazuhiro Hotta, Haruhisa Takahashi
CORR
2008
Springer
135views Education» more  CORR 2008»
13 years 7 months ago
Probabilistic SVM/GMM Classifier for Speaker-Independent Vowel Recognition in Continues Speech
In this paper, we discuss the issues in automatic recognition of vowels in Persian language. The present work focuses on new statistical method of recognition of vowels as a basic...
Mohammad Nazari, Abolghasem Sayadiyan, Seyyed Maji...
BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
NOXclass: prediction of protein-protein interaction types
Background: Structural models determined by X-ray crystallography play a central role in understanding protein-protein interactions at the molecular level. Interpretation of these...
Hongbo Zhu, Francisco S. Domingues, Ingolf Sommer,...
BMCBI
2006
180views more  BMCBI 2006»
13 years 7 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis
IJAIT
2006
121views more  IJAIT 2006»
13 years 7 months ago
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection
We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm 1) determines an appropriate piecewise...
Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas...