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» On fields of nonlinear regression models
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TSMC
2010
13 years 2 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
AIPR
2005
IEEE
14 years 1 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
AIPR
2004
IEEE
13 years 11 months ago
An Image Retrieval System Using Multispectral Random Field Models, Color, and Geometric Features
This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...
Orlando J. Hernandez, Alireza Khotanzad
AISS
2010
147views more  AISS 2010»
13 years 5 months ago
Correlating Lattice Constant of Cubic Perovskites to Atomic Parameters Using Support Vector Regression
Recently, due to problems arising from lattice mismatch in thin film growth in semiconductor manufacturing industry, researchers have shown great interest in modeling the physioch...
Abdul Majid, Yeon Soo Lee
NIPS
2003
13 years 9 months ago
Warped Gaussian Processes
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
Edward Snelson, Carl Edward Rasmussen, Zoubin Ghah...