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ISBI
2004
IEEE
16 years 5 months ago
Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis
In this paper, we present a method for predictive modeling of anatomic structures using canonical correlation analysis (CCA). Using this technique, certain anatomical structures, ...
Tianming Liu, Dinggang Shen, Christos Davatzikos
ICANN
2007
Springer
15 years 10 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
VLSID
2003
IEEE
77views VLSI» more  VLSID 2003»
16 years 4 months ago
A Methodology for Accurate Modeling of Energy Dissipation in Array Structures
There is an increasing need for obtaining a reasonably accurate estimate of energy dissipation in SoC designs. Array structures have a significant contribution to the total system...
Mahesh Mamidipaka, Nikil D. Dutt, Kamal S. Khouri
CORR
2010
Springer
124views Education» more  CORR 2010»
15 years 1 months ago
Lattice model refinement of protein structures
To find the best lattice model representation of a given full atom protein structure is a hard computational problem. Several greedy methods have been suggested where results are ...
Martin Mann, Alessandro Dal Palù
ICML
2009
IEEE
16 years 5 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...