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JMLR
2010
144views more  JMLR 2010»
15 years 1 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
ISBI
2004
IEEE
16 years 7 months ago
Clustering On Image Boundary Regions for Deformable Model Segmentation
We present a novel approach, clustering on local image profiles, for statistically characterizing image intensity in object boundary regions. In deformable model segmentation, a d...
Joshua Stough, Stephen M. Pizer, Edward L. Chaney,...
PAMI
2010
180views more  PAMI 2010»
15 years 1 months ago
Point Set Registration via Particle Filtering and Stochastic Dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithms...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
IPPS
2007
IEEE
16 years 29 days 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
WOMPAT
2004
Springer
15 years 12 months ago
Dragon: A Static and Dynamic Tool for OpenMP
A program analysis tool can play an important role in helping users understand and improve OpenMP codes. Dragon is a robust interactive program analysis tool based on the Open64 co...
Oscar Hernandez, Chunhua Liao, Barbara M. Chapman