Multi-class classification averaging fusion for detecting steganography

2007 IEEE International Conference on System of Systems Engineering, SOSE

Volumn , Issue , 2007, Pages

  Rodriguez, Benjamin M ^a   Peterson, Gilbert L ^a   Agaian, Sos S ^b  

^a AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

Author keywords

Fusion system; Multi class classification; Steganalysis; Steganography

Indexed keywords

CLASSIFIERS; CRYPTOGRAPHY; FUSION REACTIONS; IMAGE FUSION; INDUSTRIAL ENGINEERING; LEARNING SYSTEMS; MAPS; NUCLEAR PHYSICS; SYSTEMS ENGINEERING;

CLASSIFICATION ACCURACIES; CLASSIFIER FUSIONS; CLASSIFIER SYSTEMS; EMBEDDING METHODS; ENSEMBLE OF CLASSIFIERS; FINGERPRINT DOMAIN; FUSION SYSTEMS; GAUSSIAN; INDIVIDUAL (PSS 544-7); INPUT VECTORS; INTERNATIONAL CONFERENCES; JPEG IMAGES; MODEL BASED (OPC); MULTI-CLASS CLASSIFICATION; MULTIPLE CLASSIFIER FUSION; POSTERIOR CLASS PROBABILITIES; PROJECTION FUNCTION; STATISTICAL PATTERNS; STEGANALYSIS; STEGANOGRAPHY (STEGO); SYSTEM-OF-SYSTEMS ENGINEERING; WEIGHTED AVERAGING; WEIGHTED FUSION;

CLASSIFICATION (OF INFORMATION);

EID: 47249154012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYSOSE.2007.4304292     Document Type: Conference Paper

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