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» Learning Mid-Level Features For Recognition
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VIZSEC
2004
Springer
15 years 7 months ago
Visualizing windows executable viruses using self-organizing maps
This paper concentrates on visualizing computer viruses without using virus specific signature information as a prior stage of the very important problem of detecting computer vi...
InSeon Yoo
AMDO
2006
Springer
15 years 6 months ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...
MM
2010
ACM
174views Multimedia» more  MM 2010»
15 years 2 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
MM
2004
ACM
212views Multimedia» more  MM 2004»
15 years 7 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
134
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TASLP
2008
140views more  TASLP 2008»
15 years 2 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney