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MICCAI
2002
Springer
15 years 11 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
IJACTAICIT
2010
213views more  IJACTAICIT 2010»
14 years 7 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,...
TITB
2008
136views more  TITB 2008»
14 years 10 months ago
Helicobacter Pylori-Related Gastric Histology Classification Using Support-Vector-Machine-Based Feature Selection
Abstract--This study presents a computer-aided diagnosis system using sequential forward floating selection (SFFS) with support vector machine (SVM) to diagnose gastric histology o...
Chun-Rong Huang, Pau-Choo Chung, Bor-Shyang Sheu, ...
NIPS
2000
14 years 11 months ago
Active Support Vector Machine Classification
An active set strategy is applied to the dual of a simple reformulation of the standard quadratic program of a linear support vector machine. This application generates a fast new...
Olvi L. Mangasarian, David R. Musicant
IJCNN
2000
IEEE
15 years 1 months ago
Pose Classification Using Support Vector Machines
The field of human-computer interaction has been widely investigated in the last years, resulting in a variety of systems used in different application fields like virtual reality...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone