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ICCV
2007
IEEE
14 years 12 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
MICCAI
2008
Springer
14 years 11 months ago
Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis
Abstract. Myocardial deformation is a critical indicator of many cardiac diseases and dysfunctions. The goal of this paper is to use myocardial deformation patterns to identify and...
Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, L...
IPMI
2007
Springer
14 years 10 months ago
Localized Components Analysis
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of spatially localized shape c...
Dan A. Alcantara, Owen T. Carmichael, Eric Delson,...
ICML
2004
IEEE
14 years 10 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
DATE
2008
IEEE
170views Hardware» more  DATE 2008»
14 years 4 months ago
ETBR: Extended Truncated Balanced Realization Method for On-Chip Power Grid Network Analysis
In this paper, we present a novel simulation approach for power grid network analysis. The new approach, called ETBR for extended truncated balanced realization, is based on model...
Duo Li, Sheldon X.-D. Tan, Bruce McGaughy