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» Dynamically Adapting Kernels in Support Vector Machines
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115
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JCP
2006
102views more  JCP 2006»
15 years 3 months ago
Efficient Formulations for 1-SVM and their Application to Recommendation Tasks
The present paper proposes new approaches for recommendation tasks based on one-class support vector machines (1-SVMs) with graph kernels generated from a Laplacian matrix. We intr...
Yasutoshi Yajima, Tien-Fang Kuo
VMV
2008
164views Visualization» more  VMV 2008»
15 years 5 months ago
Vector Glyphs for Surfaces: A Fast and Simple Glyph Placement Algorithm for Adaptive Resolution Meshes
Visualization of flow on boundary surfaces from computational flow dynamics (CFD) is challenging due to the complex, adaptive resolution nature of the meshes used in the modeling ...
Zhenmin Peng, Robert S. Laramee
151
Voted
CAIP
2009
Springer
210views Image Analysis» more  CAIP 2009»
15 years 8 months ago
Shape Classification Using a Flexible Graph Kernel
The medial axis being an homotopic transformation, the skeleton of a 2D shape corresponds to a planar graph having one face for each hole of the shape and one node for each junctio...
François-Xavier Dupé, Luc Brun
125
Voted
ICML
2003
IEEE
16 years 4 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
MIDDLEWARE
2004
Springer
15 years 9 months ago
Kernel-middleware interaction to support adaptation in pervasive computing environments
In pervasive computing environments, conditions are highly variable and resources are limited. In order to meet the needs of applications, systems must adapt dynamically to changi...
Farshad A. Samimi, Philip K. McKinley, Seyed Masou...