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SIAMIS
2008
279views more  SIAMIS 2008»
15 years 4 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
NN
2000
Springer
177views Neural Networks» more  NN 2000»
15 years 3 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
TPDS
1998
114views more  TPDS 1998»
15 years 3 months ago
On the Automatic Parallelization of the Perfect Benchmarks
We present a set of advanced program parallelization techniques that are able to signi cantly improve the performance of application programs. We present evidence for this improve...
Rudolf Eigenmann, Jay Hoeflinger, David A. Padua
SAS
2010
Springer
143views Formal Methods» more  SAS 2010»
15 years 2 months ago
Points-to Analysis as a System of Linear Equations
The efficiency of a points-to analysis is critical for several compiler optimizations and transformations, and has attracted considerable research attention. Despite several advanc...
Rupesh Nasre, Ramaswamy Govindarajan
ICAI
2010
15 years 2 months ago
Constraint-Based Dogleg Channel Routing with Via Minimization
- In this article, we present an algorithm which is capable of transforming a gridded dogleg channel routing problem into a constraint programming (CP) problem. The transformed CP ...
I-Lun Tseng, Huan-Wen Chen, Che-I Lee, Adam Postul...