Active feature selection in optic nerve data using Support Vector Machine

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1178-1182

  Park, Jong Min ^a   Reed, Jerry ^a   Zhou, Qienyuan ^a  

^a SAN DIEGO STATE UNIVERSITY   (United States)

Author keywords

Active learning; Data mining; Feature selection; Glaucoma; Image processing; Optic nerve data; Support vector machines

Indexed keywords

DATA ACQUISITION; DIAGNOSIS; FEATURE EXTRACTION; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTICS; TISSUE; VISION;

GLAUCOMA; OPTIC NERVE DATA; SCANNING LASER POLARIMETRY; SUPPORT VECTOR MACHINE;

DATA MINING;

EID: 0036086669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Scanning laser polarimetry
2. Nerve fiber layer analysis
3. Intelligent query and browsing information retrieval (iqbir) agent
4. A tutorial on support vector machines for pattern recognition
5. On-line learning by active sampling using orthogonal decision support vectors