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JMLR
2010
108views more  JMLR 2010»
14 years 4 months ago
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
Taiji Suzuki, Masashi Sugiyama
SIBGRAPI
2008
IEEE
15 years 4 months ago
An Automatic Crude Registration of Two Partially Overlapping Range Images
We present a crude registration algorithm for two partially overlapping range images acquired from a rigid object. Our proposal is characterized by two novel features: drastic dat...
Mercedes Rocío Gonzales Márquez, Shi...
70
Voted
ICIP
1998
IEEE
15 years 1 months ago
Reduction of Blocking Artifacts in Block Transformed Compressed Color Images
In this paper we use the information in the chrominance bands to reconstruct color block transformed compressed images. For the luminance and the two chrominance channels, we de n...
Javier Mateos, Carlos Ilia Herráiz Montalvo...
NIPS
2008
14 years 11 months ago
Dimensionality Reduction for Data in Multiple Feature Representations
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
JSC
2006
85views more  JSC 2006»
14 years 9 months ago
Fraction-free row reduction of matrices of Ore polynomials
In this paper we give formulas for performing row reduction of a matrix of Ore polynomials in a fraction-free way. The reductions can be used for finding the rank and left nullspa...
Bernhard Beckermann, Howard Cheng, George Labahn