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IJCV
2010
206views more  IJCV 2010»
13 years 7 months ago
From Local Kernel to Nonlocal Multiple-Model Image Denoising
Abstract We review the evolution of the nonparametric regression modeling in imaging from the local Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-d...
Vladimir Katkovnik, Alessandro Foi, Karen Egiazari...
GLOBECOM
2008
IEEE
14 years 3 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...
ICDAR
2009
IEEE
13 years 6 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
VLDB
1998
ACM
120views Database» more  VLDB 1998»
14 years 29 days ago
KODA - The Architecture And Interface of a Data Model Independent Kernel
In this paper we describe the architecture and interface of KODA, a production strength database kernel. KODA is unique in the industry in its ability to support two different dat...
Gopalan Arun, Ashok Joshi
ISOLA
2010
Springer
13 years 7 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti