Investigating the Effectiveness of E-mail Spam Image Data for Phone Spam Image Detection Using Scale Invariant Feature Transform Image Descriptor

So Yeon Kim; Yenewondim Biadgie; Kyung-Ah Sohn

doi:10.1007/978-3-662-46578-3_69

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Investigating the Effectiveness of E-mail Spam Image Data for Phone Spam Image Detection Using Scale Invariant Feature Transform Image Descriptor

So Yeon Kim Yenewondim Biadgie Kyung-Ah Sohn

Year: 2015 Lecture notes in electrical engineering Pages: 591-598 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-662-46578-3_69

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Keywords:

Computer science Cluster analysis Artificial intelligence Phone Image (mathematics) Unavailability Mobile phone Spamming Data mining Feature extraction Pattern recognition (psychology) Computer vision The Internet Mathematics World Wide Web

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Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Algorithms and Data Compression

Physical Sciences → Computer Science → Artificial Intelligence

Investigating the Effectiveness of E-mail Spam Image Data for Phone Spam Image Detection Using Scale Invariant Feature Transform Image Descriptor

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Citation History

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