scholarly journals Characterization of digital medical images utilizing support vector machines

2004 ◽  
Vol 4 (1) ◽  
Author(s):  
Ilias G Maglogiannis ◽  
Elias P Zafiropoulos
Keyword(s):  
Support Vector Machines ◽  
Medical Images ◽  
Support Vector ◽  
Vector Machines

Support Vector Machines for Microscopic Medical Images Compression

2014 ◽  
Vol 17 (3) ◽  
pp. 335-345 ◽  
Author(s):  
Chahinez Meriem Bentaouza ◽  
Mohamed Benyettou
Keyword(s):  
Support Vector Machines ◽  
Medical Images ◽  
Support Vector ◽  
Vector Machines

A new approach to simulate characterization of particulate matter employing support vector machines

2011 ◽  
Vol 186 (2-3) ◽  
pp. 1254-1262 ◽  
Author(s):  
K. Mogireddy ◽  
V. Devabhaktuni ◽  
A. Kumar ◽  
P. Aggarwal ◽  
P. Bhattacharya
Keyword(s):  
Particulate Matter ◽  
Support Vector Machines ◽  
Support Vector ◽  
New Approach ◽  
Vector Machines

Support vector machines for detection and characterization of rolling element bearing faults

2001 ◽  
Vol 215 (9) ◽  
pp. 1065-1074 ◽  
Author(s):  
L. B. Jack ◽  
A. K. Nandi
Keyword(s):  
Support Vector Machines ◽  
Vibration Signal ◽  
Training Data ◽  
Rolling Element Bearing ◽  
Support Vector ◽  
Statistical Estimates ◽  
Vector Machines ◽  
Rolling Element ◽  
Fault Characterization

Artificial neural networks (ANNs) have been used to detect faults in rotating machinery for a number of years, using statistical estimates of the vibration signal as input features, and they have been shown to be highly successful in this type of application. Support vector machines (SVMs) are a more recent development, and little use has been made of them in the condition monitoring (CM) arena. The availability of a limited amount of training data creates some problems for the use of SVMs, and a strategy is offered that improves the generalization performance significantly in cases where only limited training data are available. This paper examines the performance of both types of classifier in one given scenario—a multiclass fault characterization example.

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