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» A Novel Monte Carlo Noise Reduction Operator
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CVPR
2008
IEEE
14 years 9 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
TCOM
2010
141views more  TCOM 2010»
13 years 1 months ago
Mutual Information Statistics and Beamforming Performance Analysis of Optimized LoS MIMO Systems
Abstract--This paper provides a systematic mutual information (MI) and multichannel beamforming (MBF) characterization of optimized multiple-input multiple-output (MIMO) communicat...
Michail Matthaiou, Paul de Kerret, George K. Karag...
ICCV
2011
IEEE
12 years 7 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
ISPD
2005
ACM
130views Hardware» more  ISPD 2005»
14 years 20 days ago
Improved algorithms for link-based non-tree clock networks for skew variability reduction
In the nanometer VLSI technology, the variation effects like manufacturing variation, power supply noise, temperature etc. become very significant. As one of the most vital nets...
Anand Rajaram, David Z. Pan, Jiang Hu
CIARP
2003
Springer
14 years 10 days ago
Robust Estimation of Roughness Parameter in SAR Amplitude Images
The precise knowledge of the statistical properties of synthetic aperture radar (SAR) data plays a central role in image processing and understanding. These properties can be used ...
Héctor Allende, Luis Pizarro