Convex hull-based feature selection in application to classification of wireless capsule endoscopic images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5807 LNCS, Issue , 2009, Pages 664-675

  Szczypiński, Piotr ^a   Klepaczko, Artur ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Convex hull; Feature selection; Support vector machines; Wireless capsule endoscopy

Indexed keywords

A-COEFFICIENT; CAPSULE ENDOSCOPE IMAGE; CONVEX HULL; CONVEX HULL METHOD; DESCRIPTORS; DISCRIMINATION ABILITY; ENDOSCOPIC IMAGE; FEATURE SELECTION; FEATURE SUBSET SELECTION; FEATURE SUBSPACE; GASTROINTESTINAL TRACT; PATHOLOGICAL CHANGES; RADIAL BASIS FUNCTIONS; TEXTURE DESCRIPTORS; WIRELESS CAPSULE; WIRELESS CAPSULE ENDOSCOPY;

COMPUTATIONAL GEOMETRY; COMPUTER VISION; ENDOSCOPY; GEARS; MULTILAYER NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

VECTORS;

EID: 70549094328     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04697-1_62     Document Type: Conference Paper

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