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» Kernels for Semi-Structured Data
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ICANN
2009
Springer
14 years 10 days ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
CVPR
2010
IEEE
13 years 5 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
APPT
2009
Springer
14 years 2 months ago
Performance Improvement of Multimedia Kernels by Alleviating Overhead Instructions on SIMD Devices
SIMD extension is one of the most common and effective technique to exploit data-level parallelism in today’s processor designs. However, the performance of SIMD architectures i...
Asadollah Shahbahrami, Ben H. H. Juurlink
KES
2007
Springer
14 years 1 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato
ICPR
2004
IEEE
14 years 8 months ago
Tangent Vector Kernels for Invariant Image Classification with SVMs
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
Alexei Pozdnoukhov, Samy Bengio