A statistical method for binary classification of images

Proceedings of the 2005 ACM Symposium on Document Engineering

Volumn , Issue , 2005, Pages 127-129

  Simske, Steven J ^a   Li, Dalong ^b   Aronoff, Jason S ^a  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Binary Classification; Classifier; Combined Classifiers; Image Classification; Normal

Indexed keywords

IMAGE ANALYSIS; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; SEMANTICS; STATISTICAL METHODS;

BINARY CLASSIFICATION; CLASSIFIER; COMBINED CLASSIFIERS; IMAGE CLASSIFICATION; NORMAL;

CLASSIFICATION (OF INFORMATION);

EID: 33745812069     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1096601.1096632     Document Type: Conference Paper

References (4)

1. Simske, S.J. "Low-resolution photo/drawing classification: metrics, method and archiving optimization", Proc. ICIP 2005, in press.
2. Schölkopf, B. and Smola, A.J. "Learning with Kernels", The MIT Press, Cambridge MA, 2002.
3. Vailaya, A., Jain, A. and Zhang, H.J. "On image classification: city vs. landscape", Proc. IEEE Workshop Content-Based Access Image Video Lib., pp. 3-8, 1998.
4. Freund, Y. and Schapire, R. "A decision theoretic generalization of on-line learning and an application to boosting", J. Comp. Syst. Sciences 55, pp. 119-139, 1997.