Now showing items 1-5 of 5
Modeling the Representation of Medial Axis Structure in Human Ventral Pathway Cortex
(Johns Hopkins University, 2016-07-21)
Computational modeling of the human brain has long been an important goal of scientific research. The visual system is of particular interest because it is one of the primary modalities by which we understand the world. ...
Using Machine Learning to Study the Relationship Between Galaxy Morphology and Evolution
(Johns Hopkins University, 2016-07-05)
We can track the physical evolution of massive galaxies over time by characterizing the morphological signatures inherent to different mechanisms of galactic assembly. Structural studies rely on a small set of measurements ...
Generative Non-Markov Models for Information Extraction
(Johns Hopkins University, 2016-02-22)
Learning from unlabeled data is a long-standing challenge in machine learning. A principled solution involves modeling the full joint distribution over inputs and the latent structure of interest, and imputing the missing ...
Securing Medical Devices and Protecting Patient Privacy in the Technological Age of Healthcare
(Johns Hopkins University, 2016-02-18)
The healthcare industry has been adopting technology at an astonishing rate. This technology has served to increase the efficiency and decrease the cost of healthcare around the country. While technological adoption has ...
Bayesian cluster expansion with lattice parameter dependence for studying surface alloys
(Johns Hopkins University, 2016-05-06)
DFT+Cluster Expansion+Monte Carlo (DFT-CE-MC) process of studying thermodynamic properties of lattice structure is of great use in materials design for a variety of applications. Among these applications, rational design ...