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» A Declarative Framework for Analysis and Optimization
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TSP
2008
179views more  TSP 2008»
13 years 7 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
CAD
2002
Springer
13 years 7 months ago
Integrated modeling, finite-element analysis, and engineering design for thin-shell structures using subdivision
Many engineering design applications require geometric modeling and mechanical simulation of thin flexible structures, such as those found in the automotive and aerospace industri...
Fehmi Cirak, Michael J. Scott, Erik K. Antonsson, ...
ICPR
2006
IEEE
14 years 9 months ago
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification
Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorith...
Antonio Robles-Kelly, Nianjun Liu, Terry Caelli, Z...
CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 8 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
TPDS
2010
135views more  TPDS 2010»
13 years 6 months ago
Maximizing Service Reliability in Distributed Computing Systems with Random Node Failures: Theory and Implementation
—In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliabil...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat