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» Robust information-theoretic clustering
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ISBI
2008
IEEE
15 years 10 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...
PARA
2000
Springer
15 years 1 months ago
Runtime Adaptation of an Iterative Linear System Solution to Distributed Environments
Abstract. Distributed cluster environments are becoming popular platforms for high performance computing in lieu of single-vendor supercomputers. However, the reliability and susta...
Masha Sosonkina
TIP
2010
152views more  TIP 2010»
14 years 8 months ago
Registering a MultiSensor Ensemble of Images
—Many registration scenarios involve aligning more than just two images. These image sets—called ensembles—are conventionally registered by choosing one image as a template, ...
Jeff Orchard, Richard Mann
CVPR
2010
IEEE
15 years 1 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
BMCBI
2008
114views more  BMCBI 2008»
14 years 10 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson