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» Unsupervised Feature Selection Using Feature Similarity
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177
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KI
2007
Springer
15 years 6 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
145
Voted
CORR
2000
Springer
84views Education» more  CORR 2000»
15 years 6 months ago
Differential Invariants under Gamma Correction
This paper presents invariants under gamma correction and similarity transformations. The invariants are local features based on differentials which are implemented using derivati...
Andreas Siebert
ECML
2006
Springer
15 years 10 months ago
Sequence Discrimination Using Phase-Type Distributions
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
Jérôme Callut, Pierre Dupont
DATAMINE
2007
93views more  DATAMINE 2007»
15 years 6 months ago
Evaluation of ordinal attributes at value level
We propose a novel context sensitive algorithm for evaluation of ordinal attributes which exploits the information hidden in ordering of attributes’ and class’ values and prov...
Marko Robnik-Sikonja, Koen Vanhoof
CVPR
2007
IEEE
16 years 8 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez