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161
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NN
2000
Springer
177views Neural Networks» more  NN 2000»
15 years 5 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
CORR
1998
Springer
103views Education» more  CORR 1998»
15 years 5 months ago
The descriptive complexity approach to LOGCFL
Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclass...
Clemens Lautemann, Pierre McKenzie, Thomas Schwent...
163
Voted
DATAMINE
1998
145views more  DATAMINE 1998»
15 years 5 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
229
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao
168
Voted
VIROLOGY
2010
162views more  VIROLOGY 2010»
15 years 4 months ago
Applied parallel coordinates for logs and network traffic attack analysis
By looking on how computer security issues are handled today, dealing with numerous and unknown events is not easy. Events need to be normalized, abnormal behaviors must be describ...
Sébastien Tricaud, Philippe Saadé