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ICPR
2004
IEEE
14 years 6 months ago
Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
Amit David, Boaz Lerner
IJACTAICIT
2010
213views more  IJACTAICIT 2010»
13 years 2 months ago
Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
BMCBI
2010
151views more  BMCBI 2010»
13 years 5 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
ICASSP
2010
IEEE
13 years 5 months ago
Training a support vector machine to classify signals in a real environment given clean training data
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum...
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Musical Signal Type Discrimination based on Large Open Feature Sets
Automatic discrimination of musical signal types as speech, singing, music, genres or drumbeats within audio streams is of great importance e.g. for radio broadcast stream segment...
Björn Schuller, Frank Wallhoff, Dejan Arsic, ...