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» Learning the Relative Importance of Features in Image Data
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ICC
2007
IEEE
141views Communications» more  ICC 2007»
15 years 10 months ago
A Hybrid Model to Detect Malicious Executables
— We present a hybrid data mining approach to detect malicious executables. In this approach we identify important features of the malicious and benign executables. These feature...
Mohammad M. Masud, Latifur Khan, Bhavani M. Thurai...
MICAI
2007
Springer
15 years 10 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
15 years 7 days ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
121
Voted
MM
2000
ACM
99views Multimedia» more  MM 2000»
15 years 7 months ago
Scene identification in news video by character region segmentation
Reflecting the demand for recycling and retrieval of video, we are proposing an automatic indexing system for news video that considers correspondences between textual indices and...
Ichiro Ide, Reiko Hamada, Shuichi Sakai, Hidehiko ...
CPHYSICS
2006
95views more  CPHYSICS 2006»
15 years 4 months ago
Efficient data processing and quantum phenomena: Single-particle systems
We study the relation between the acquisition and analysis of data and quantum theory using a probabilistic and deterministic model for photon polarizers. We introduce criteria fo...
H. De Raedt, Koen De Raedt, K. Michielsen, S. Miya...