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» A Support Vector Clustering Method
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161
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GECCO
2005
Springer
218views Optimization» more  GECCO 2005»
15 years 9 months ago
Particle swarm optimization for analysis of mass spectral serum profiles
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
Habtom W. Ressom, Rency S. Varghese, Daniel Saha, ...
103
Voted
IUI
2004
ACM
15 years 9 months ago
Classifying and assessing tremor movements for applications in man-machine intelligent user interfaces
We introduce a new intelligent user interface (IUI) and, also, a new methodology to identify the fatigue state for healthy subjects. The fatigue state is determined by means of a ...
Dan Marius Dobrea, Horia-Nicolai L. Teodorescu
133
Voted
IDEAL
2004
Springer
15 years 9 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
117
Voted
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
15 years 9 months ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
174
Voted
ICIAP
2003
ACM
15 years 8 months ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello