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CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 3 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
126
Voted
TCAD
2010
150views more  TCAD 2010»
14 years 10 months ago
Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
118
Voted
ISBI
2007
IEEE
15 years 10 months ago
Statistically-Constrained Deformable Registration of Mr Brain Images
Statistical models of deformations (SMD) capture the variability of deformations of a group of sample images, and they are often used to constrain deformable registration, thereby...
Zhong Xue, Dinggang Shen
134
Voted
SGP
2003
15 years 5 months ago
Statistical Point Geometry
We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes ...
Aravind Kalaiah, Amitabh Varshney
ICIP
1994
IEEE
15 years 7 months ago
Active Region Models for Segmenting Medical Images
This paper describes a new region-growing method for segmenting medical images. The method uses a closed snake driven by a pressure force that is a function of the statistical cha...
Jim Ivins, John Porrill