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CORR
2006
Springer
139views Education» more  CORR 2006»
14 years 12 months ago
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
Vojtech Krmicek, Michèle Sebag
TMI
2010
165views more  TMI 2010»
14 years 10 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
ICIP
2005
IEEE
16 years 1 months ago
Non-parametric image super-resolution using multiple images
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
VISUALIZATION
1997
IEEE
15 years 4 months ago
Visualization of height field data with physical models and texture photomapping
This paper discusses a unique way to visualize height field data – the use of solid fabricated parts with a photomapped texture to display scalar information. In this process, t...
Dru Clark, Michael J. Bailey
IGARSS
2009
14 years 9 months ago
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV...
Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasil...