High Resolution Interference Spectroscopy Applied to Astronomical Investigations (2000 to 3000 Å)

Implantable Microsystems for High-Resolution Interfacing to the Brain

Object-oriented analysis applied to high resolution satellite data

The aim of this contribute is to examine an application of Object Oriented Image Analysis on very high resolution data, on Ikonos images multispectral and panchromatic – of Bagnara Calabra, in the province of Reggio Calabria. Our objectives are to show as an automatic analysis as we implemented in a unitary package for segmentation and classification Neuro Fuzzy – with a minimal manual particip...

b-Matrix Correction Applied to High Resolution DTI

INTRODUCTION – High resolution Diffusion Tensor Imaging (DTI) has been challenging for several reasons. Perhaps the major obstacle is due to the random phase effects that change between successive shots and pixel-by-pixel misregistration caused by patient motion. In addition, DTI images acquired with EPI are typically hampered by geometric distortion, blurring, and – in the case of multi-shot E...

Robust Machine Learning Applied to Terascale Astronomical Datasets

We present recent results from the LCDM collaboration between UIUC Astronomy and NCSA to deploy supercomputing cluster resources and machine learning algorithms for the mining of terascale astronomical datasets. This is a novel application in the field of astronomy, because we are using such resources for data mining, and not just performing simulations. Via a modified implementation of the NCS...

Panoramic High Resolution Spectroscopy

Stellar populations in galaxies are vast repositories of fossil information. In recent years it has become possible to consider high resolution spectroscopic surveys of millions of stars. New high resolution multi-object spectrographs on 4-8m class telescopes (HERMES, WFMOS) will allow us for the first time to make large and detailed chemical abundance surveys of stars in the Galactic disk, bul...