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GMP
2000
IEEE
173views Solid Modeling» more  GMP 2000»
15 years 4 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
14 years 9 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
14 years 3 months 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
16 years 1 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»
15 years 6 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, ...