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» A Framework for Exploring Optimization Properties
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IPPS
2007
IEEE
14 years 3 months ago
Taking Advantage of Collective Operation Semantics for Loosely Coupled Simulations
Although a loosely coupled component-based framework offers flexibility and versatility for building and deploying large-scale multi-physics simulation systems, the performance o...
Joe Shang-Chieh Wu, Alan Sussman
ICCV
2005
IEEE
14 years 2 months ago
Learning Effective Image Metrics from Few Pairwise Examples
We present a new approach to learning image metrics. The main advantage of our method lies in a formulation that requires only a few pairwise examples. Apparently, based on the li...
Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh
CGF
2008
105views more  CGF 2008»
13 years 8 months ago
Curvature-Domain Shape Processing
We propose a framework for 3D geometry processing that provides direct access to surface curvature to facilitate advanced shape editing, filtering, and synthesis algorithms. The c...
Michael Eigensatz, Robert W. Sumner, Mark Pauly
CORR
2007
Springer
131views Education» more  CORR 2007»
13 years 8 months ago
Bayesian sequential change diagnosis
Sequential change diagnosis is the joint problem of detection and identification of a sudden and unobservable change in the distribution of a random sequence. In this problem, the...
Savas Dayanik, Christian Goulding, H. Vincent Poor
ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 8 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg