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DAGM
1998
Springer
15 years 4 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ISBI
2009
IEEE
15 years 6 months ago
Reduction of Distortions in MRSI Using a New Signal Model
We propose a new reconstruction scheme for magnetic resonance spectroscopic imaging (MRSI) signal based on minimizing the spatial total variation (TV) integrated with the 1 -norm ...
Ramin Eslami, Mathews Jacob
SOCO
2008
Springer
14 years 11 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
MM
2005
ACM
371views Multimedia» more  MM 2005»
15 years 5 months ago
Data grid for large-scale medical image archive and analysis
Storage and retrieval technology for large-scale medical image systems has matured significantly during the past ten years but many implementations still lack cost-effective backu...
H. K. Huang, Aifeng Zhang, Brent J. Liu, Zheng Zho...
JCIT
2008
71views more  JCIT 2008»
14 years 11 months ago
Robust Model for sea surface current simulation from radarsat-1 SAT data
This paper was utilized robust model to simulate sea surface current pattern. The horizontal surface velocity model was modified based on the Doppler frequency theory to model the...
Maged Marghany, Mazlan Hashim