Now showing items 51-55 of 55
High-performance algorithms and software for large-scale molecular simulation
(Georgia Institute of Technology, 2014-12-17)
Molecular simulation is an indispensable tool in many different disciplines such as physics, biology, chemical engineering, materials science, drug design, and others. Performing large-scale molecular simulation is of great ...
Characterizing and improving last mile performance using home networking infrastructure
(Georgia Institute of Technology, 2014-07-15)
More than a billion people access the Internet through residential broadband connections worldwide, and this number is projected to grow further. Surprisingly, little is known about some important properties of these ...
Learning matrix and functional models in high-dimensions
(Georgia Institute of Technology, 2014-06-20)
Statistical machine learning methods provide us with a principled framework for extracting meaningful information from noisy high-dimensional data sets. A significant feature of such procedures is that the inferences made ...
Modern aspects of unsupervised learning
(Georgia Institute of Technology, 2014-06-23)
Unsupervised learning has become more and more important due to the recent explosion of data. Clustering, a key topic in unsupervised learning, is a well-studied task arising in many applications ranging from computer ...
A distributed framework for situation awareness on camera networks
(Georgia Institute of Technology, 2014-07-01)
With the proliferation of cameras and advanced video analytics, situation awareness applications that automatically generate actionable knowledge from live camera streams has become an important class of applications in ...