Search
Now showing items 1-10 of 10
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 ...
Report Linking: Information Extraction for Building Topical Knowledge Bases
(Johns Hopkins University, 2017-10-26)
Human language artifacts represent a plentiful source of rich, unstructured information created by reporters, scientists, and analysts. In this thesis we provide approaches for adding structure: extracting and linking ...
Joint Spatial-Angular Sparse Coding, Compressed Sensing, and Dictionary Learning for Diffusion MRI
(Johns Hopkins University, 2018-03-02)
Neuroimaging provides a window into the inner workings of the human brain to diagnose and prevent neurological diseases and understand biological brain function, anatomy, and psychology. Diffusion Magnetic Resonance Imaging ...
Automated Virtual Coach for Surgical Training
(Johns Hopkins University, 2017-02-23)
Surgical educators have recommended individualized coaching for acquisition, retention and improvement of expertise in technical skills. Such one-on-one coaching is limited to institutions that can afford surgical coaches ...
Graphical Models with Structured Factors, Neural Factors, and Approximation-aware Training
(Johns Hopkins University, 2015-10-23)
This thesis broadens the space of rich yet practical models for structured prediction. We introduce a general framework for modeling with four ingredients: (1) latent variables, (2) structural constraints, (3) learned ...
Topic Modeling with Structured Priors for Text-Driven Science
(Johns Hopkins University, 2015-07-24)
Many scientific disciplines are being revolutionized by the explosion of public data on the web and social media, particularly in health and social sciences. For instance, by
analyzing social media messages, we can instantly ...
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 ...
Human Action Recognition from Active Acoustics: Physics Modelling for Representation Learning and Inference Using Generative Probabilistic Graphical Models
(Johns Hopkins University, 2015-02-20)
This dissertation explores computational methods to address the problem of physics-based modeling and ultimately doing inference from data in multiple modalities where there exists large amounts of low dimensional data ...
THE SPATIAL INDUCTIVE BIAS OF DEEP LEARNING
(Johns Hopkins University, 2017-03-17)
In the past few years, Deep Learning has become the method of choice for
producing state-of-the-art results on machine learning problems involving
images, text, and speech. The explosion of interest in these techniques ...