Global ETD Search

From spatio-temporal data to a weighted and lagged network between functional domains: Applications in climate and neuroscience

Fountalis, IliasGeorgia Institute of Technology2016

… both science and enterprises. Such data are typically embedded in a grid with a resolution larger than the true dimensionality of the underlying system. One major task is to identify the distinct semi-autonomous functional components of the spatio-temporal system and to infer their …

gatech Repository record for From spatio-temporal data to a weighted and lagged network between functional domains: Applications in climate and neuroscience (opens in a new tab)

Color in scientific visualization: Perception and image-based data display

Zhang, Hongqin

rit Repository record for Color in scientific visualization: Perception and image-based data display (opens in a new tab)

EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA

HE QIANG2015

… information makes it possible to answer scientifically interesting and practically relevant questions. On the other hand, the massive sample size, high dimensionality and complex dependence of big data create computational and statistical challenges that cannot be handled by the conventional …

nus Repository record for EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA (opens in a new tab)