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ICML
2010
IEEE
13 years 9 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
PRL
2002
101views more  PRL 2002»
13 years 7 months ago
Multifocus image fusion using artificial neural networks
Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all obj...
Shutao Li, James T. Kwok, Yaonan Wang
DCC
1999
IEEE
14 years 11 days ago
Embedded Post-Processing for Enhancement of Compressed Images
This paper presents a simple and e ective post-processing method for compressed images. This work focuses on the cyclic time-variance introduced by block-based and subband transfo...
Aria Nosratinia
ICASSP
2011
IEEE
12 years 11 months ago
Natural gradient approach in orthogonal matrix optimization using cayley transform
Matrix optimization with orthogonal constraints appear in a variety of application fields including signal and image processing. Several researchers have developed algorithms for...
Gen Hori
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
13 years 9 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...