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TMI
2002
248views more  TMI 2002»
15 years 3 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
140
Voted
SAC
2009
ACM
15 years 10 months ago
GTfold: a scalable multicore code for RNA secondary structure prediction
The prediction of the correct secondary structures of large RNAs is one of the unsolved challenges of computational molecular biology. Among the major obstacles is the fact that a...
Amrita Mathuriya, David A. Bader, Christine E. Hei...
135
Voted
JIT
2004
Springer
166views Database» more  JIT 2004»
15 years 9 months ago
Feature-Oriented Development of Software Product Lines: Mapping Feature Models to the Architecture
Software product lines (PLs) present a solid approach in large scale reuse. Due to the PLs’ inherit complexity, many PL methods use the notion of ”features” to support requir...
Periklis Sochos, Ilka Philippow, Matthias Riebisch
IPPS
1998
IEEE
15 years 7 months ago
Code Transformations for Low Power Caching in Embedded Multimedia Processors
In this paper, we present several novel strategies to improve software controlled cache utilization, so as to achieve lower power requirements for multi-media and signal processin...
Chidamber Kulkarni, Francky Catthoor, Hugo De Man
148
Voted
IOR
2011
152views more  IOR 2011»
14 years 10 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski