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JMLR
2006
132views more  JMLR 2006»
14 years 9 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
ICIP
1999
IEEE
15 years 11 months ago
Deformable Matching of Hand Shapes for User Verification
Wepresent a method for personal authentication based on deformable matching of hand shapes. Authentication systems are already employed in domains that require some sort of user v...
Anil K. Jain, Nicolae Duta
CVPR
2010
IEEE
15 years 5 months ago
Rapid Selection of Reliable Templates for Visual Tracking
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...
Nicolas Alt, Stefan Hinterstoisser, Nassir Navab
ICASSP
2008
IEEE
15 years 4 months ago
Distributed stereo image coding with improved disparity and noise estimation
Distributed coding of correlated grayscale stereo images is effectively addressed by a recently proposed codec that learns block-wise disparity at the decoder. Based on the Slepia...
David M. Chen, David P. Varodayan, Markus Flierl, ...
ICASSP
2008
IEEE
15 years 4 months ago
Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
Timothy J. Hazen, Anna Margolis