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ICML
1998
IEEE
15 years 9 months ago
The Problem with Noise and Small Disjuncts
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
Gary M. Weiss, Haym Hirsh
TIP
2002
107views more  TIP 2002»
15 years 5 months ago
Dequantizing image orientation
Abstract--We address the problem of computing a local orientation map in a digital image. We show that standard image gray level quantization causes a strong bias in the repartitio...
Agnès Desolneux, Saïd Ladjal, Lionel M...
GLOBECOM
2007
IEEE
16 years 5 days ago
Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes
— Markov Chain Monte Carlo methods have recently been applied as front-end detectors in multipleinput multiple-output (MIMO) communication systems. Moreover, the near capacity be...
Xuehong Mao, Peiman Amini, Behrouz Farhang-Borouje...
DICTA
2003
15 years 7 months ago
Gaussian Blurring-Deblurring for Improved Image Compression
The deblurring of Gaussian blur by inverting the action of the diffusion equation has long been known. This technique is interesting but without much practical application since th...
Moi Hoon Yap, Michel Bister, Hong Tat Ewe
197
Voted
BMVC
2010
15 years 3 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata