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» Generalized Discriminant Analysis Using a Kernel Approach
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NIPS
2001
13 years 10 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
ICPR
2006
IEEE
14 years 9 months ago
On Authorship Attribution via Markov Chains and Sequence Kernels
We investigate the use of recently proposed character and word sequence kernels for the task of authorship attribution and compare their performance with two probabilistic approac...
Conrad Sanderson, Simon Günter
CCS
2005
ACM
14 years 2 months ago
Automatic placement of authorization hooks in the linux security modules framework
We present a technique for automatic placement of authorization hooks, and apply it to the Linux security modules (LSM) framework. LSM is a generic framework which allows diverse ...
Vinod Ganapathy, Trent Jaeger, Somesh Jha
ECML
2006
Springer
14 years 12 days 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
IJON
2007
166views more  IJON 2007»
13 years 8 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi