Sciweavers

50 search results - page 2 / 10
» Reducing the Dimensionality of Hyperspectral Data using Diff...
Sort
View
ICCV
2007
IEEE
13 years 8 months ago
Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging
We present a Diffusion Maps clustering method applied to diffusion MRI in order to segment complex white matter fiber bundles. It is well-known that diffusion tensor imaging (DTI)...
Demian Wassermann, Maxime Descoteaux, Rachid Deric...
AIPR
2002
IEEE
13 years 9 months ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
AIPR
2002
IEEE
13 years 9 months ago
Hyperspectral Imaging of Kaposi's Sarcoma for Disease Assessment and Treatment Monitoring
Light spectroscopic methods are critical to advances in molecular characterization of disease processes. However, these methods have been limited to in-vitro or cell culture studi...
David Hattery, Moinuddin Hassan, Stavros Demos, Am...
ACMACE
2008
ACM
13 years 6 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
DSP
2010
13 years 4 months ago
A diffusion framework for detection of moving vehicles
Automatic acoustic-based vehicle detection is a common task in security and surveillance systems. Usually, a recording device is placed in a designated area and a hardware/softwar...
Alon Schclar, Amir Averbuch, N. Rabin, Valery A. Z...