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CIKM
2008
Springer
15 years 6 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 4 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CVPR
2012
IEEE
13 years 6 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
TPHOL
2005
IEEE
15 years 10 months ago
Verifying a Secure Information Flow Analyzer
Abstract. Denotational semantics for a substantial fragment of Java is formalized by deep embedding in PVS, making extensive use of dependent types. A static analyzer for secure in...
David A. Naumann
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 11 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu