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JMLR
2010
144views more  JMLR 2010»
15 years 2 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 8 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 2 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 1 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
WOMPAT
2004
Springer
16 years 16 days 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