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» Patient Fall Detection using Support Vector Machines
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CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 9 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon
ICMCS
2006
IEEE
177views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Mixed Type Audio Classification with Support Vector Machine
Content-based classification of audio data is an important problem for various applications such as overall analysis of audio-visual streams, boundary detection of video story se...
Lei Chen 0002, Sule Gündüz, M. Tamer &Ou...
GECCO
2005
Springer
218views Optimization» more  GECCO 2005»
14 years 1 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, ...
CEC
2007
IEEE
14 years 2 months ago
Concerning the potential of evolutionary support vector machines
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumi...
MICCAI
2010
Springer
13 years 6 months ago
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
Abstract. This paper introduces a new method to detect group differences in brain images based on spatially regularized support vector machines (SVM). First, we propose to spatial...
Rémi Cuingnet, Charlotte Rosso, Stép...