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SCALESPACE
2009
Springer
16 years 1 months ago
PDE-Driven Adaptive Morphology for Matrix Fields
Matrix fields are important in many applications since they are the adequate means to describe anisotropic behaviour in image processing models and physical measurements. A promin...
Bernhard Burgeth, Michael Breuß, Luis Pizarr...
ICASSP
2008
IEEE
16 years 1 months ago
Mutual information based relevance network analysis: a Parkinson'S disease study
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
ICIP
2008
IEEE
16 years 1 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
ICIP
2008
IEEE
16 years 1 months ago
Shape analysis of brain ventricles for improved classification of Alzheimer's patients
One of the hallmarks of Alzheimer’s disease (AD) is the loss of neurons in the brain. In many cases, the medical experts use MR (magnetic resonance) images to qualitatively meas...
Jingnan Wang, Ahmet Ekin, Gerard de Haan
ICASSP
2007
IEEE
16 years 1 months ago
Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
Jue Wu, Albert C. S. Chung