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PR
2008
169views more  PR 2008»
13 years 10 months ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
JUCS
2007
146views more  JUCS 2007»
13 years 10 months ago
Ontology and Grammar of the SOPHIE Choreography Conceptual Framework - An Ontological Model for Knowledge Management
: Ontologies have been recognized as a fundamental infrastructure for advanced approaches to Knowledge Management (KM) automation in SOA. Building services communicate with each ot...
Sinuhé Arroyo
CGF
2004
74views more  CGF 2004»
13 years 10 months ago
VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data
We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots are a point-based representation of volumetric data. An individual Vo...
Sören Grimm, Stefan Bruckner, Armin Kanitsar,...
DATAMINE
1998
145views more  DATAMINE 1998»
13 years 9 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
JMLR
2002
115views more  JMLR 2002»
13 years 9 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger