Detecting image spam using visual features and near duplicate detection

Proceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Volumn , Issue , 2008, Pages 497-506

  Mehta, Bhaskar ^a   Nangia, Saurabh ^b   Gupta, Manish ^b   Nejdl, Wolfgang ^c  

^a GOOGLE   (Switzerland)

^b INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

^c L3S RESEARCH CENTER   (Germany)

Author keywords

Email spam; Image analysis; Machine learning

Indexed keywords

EDGE DETECTION; ELECTRONIC MAIL; IMAGE ANALYSIS; IMAGE ENHANCEMENT; LEARNING SYSTEMS; MILITARY PHOTOGRAPHY; SPAMMING; SUPPORT VECTOR MACHINES; WORLD WIDE WEB;

BINARY FORMATS; COMPETITIVE EDGES; DISTANCE MEASURES; DUPLICATE DETECTIONS; DUPLICATION DETECTIONS; EMAIL SPAM; EMBEDDED IMAGES; GAUSSIAN MIXTURE MODELS; IMAGE-BASED; INFORMATION BOTTLENECKS; JENSEN-SHANNON DIVERGENCES; MACHINE LEARNING; SHAPE FEATURES; SPAM MESSAGES; SUPPORT VECTORS; VISUAL FEATURES;

INTERNET;

EID: 57349173529     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1367497.1367565     Document Type: Conference Paper

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