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GMP
2000
IEEE
173views Solid Modeling» more  GMP 2000»
14 years 1 months ago
A Representation Independent Geometric Modeling Kernel
This paper is concerned with “open kernel” geometric modelling systems. It uses industrial needs to identify requirements for the geometric objects of a proposed interface. Th...
Alan E. Middleditch, Chris Reade, Abel J. P. Gomes
ICIP
2009
IEEE
13 years 6 months ago
A food image recognition system with Multiple Kernel Learning
Since health care on foods is drawing people's attention recently, a system that can record everyday meals easily is being awaited. In this paper, we propose an automatic foo...
Taichi Joutou, Keiji Yanai
ICASSP
2011
IEEE
13 years 15 days ago
Polytope kernel density estimates on Delaunay graphs
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
Erhan Bas, Deniz Erdogmus
ICCV
2003
IEEE
14 years 10 months ago
Real Time Pattern Matching Using Projection Kernels
A novel approach to pattern matching is presented, which reduces time complexity by two orders of magnitude compared to traditional approaches. The suggested approach uses an effi...
Yacov Hel-Or, Hagit Hel-Or
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
14 years 3 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...