Now showing items 1-3 of 3
Innovative mining, processing, and application of big graphs
(Georgia Institute of Technology, 2017-03-22)
With continued advances in science and technology, big graph (or network) data, such as World Wide Web, social networks, academic collaboration networks, transportation networks, telecommunication networks, biological ...
Domain adaptation via data augmentation
(Georgia Institute of Technology, 2020-04-28)
Deep learning (DL) models require large labeled datasets for training. Practitioners often need to adapt an existing DL model to a different domain. For instance, a practitioner in a company developing autonomous vehicles ...
Generalized N-body problems: a framework for scalable computation
(Georgia Institute of Technology, 2013-08-26)
In the wake of the Big Data phenomenon, the computing world has seen a number of computational paradigms developed in response to the sudden need to process ever-increasing volumes of data. Most notably, MapReduce has ...