Now showing items 1-10 of 19
Inferring Speaker Affect in Spoken Natural Language Communication
The ﬁeld of spoken language processing is concerned with creating computer programs that can understand human speech and produce human-like speech. Regarding the problem of understanding human speech, there is currently ...
From Digital to Physical: Computational Aspects of 3D Manufacturing
The desktop publishing revolution of the 1980s is currently repeating itself in 3D, referred to as desktop manufacturing. Online services such as Shapeways have become available, making personalized manufacturing on cutting ...
Toward a Hardware Accelerated Future
Hardware accelerators provide a rare opportunity to achieve orders-of-magnitude performance and power improvements with customized circuit designs.
Rich Linguistic Structure from Large-Scale Web Data
The past two decades have shown an unexpected effectiveness of Web-scale data in natural language processing. Even the simplest models, when paired with unprecedented amounts of unstructured and unlabeled Web data, have ...
Collective Construction by Termite-Inspired Robots
Construction usually involves careful preplanning and direct human operation of tools and material. Bringing automation to construction has the potential to improve its speed and efficiency, and to enable building in ...
Perception, Cognition, and Effectiveness of Visualizations with Applications in Science and Engineering
Visualization is a powerful tool for data exploration and analysis. With data ever-increasing in quantity and becoming integrated into our daily lives, having effective visualizations is necessary. But how does one design ...
Revisiting Random Utility Models
This thesis explores extensions of Random Utility Models (RUMs), providing more flexible models and adopting a computational perspective. This includes building new models and understanding their properties such as ...
Stable and Efficient Sparse Recovery for Machine Learning and Wireless Communication
Recent theoretical study shows that the sparsest solution to an underdetermined linear system is unique, provided the solution vector is sufficiently sparse, and the operator matrix has sufficiently incoherent column ...
Computations and Algorithms in Physical and Biological Problems
This dissertation presents the applications of state-of-the-art computation techniques and data analysis algorithms in three physical and biological problems: assembling DNA pieces, optimizing self-assembly yield, and ...
Limiting Disclosure in Annotated Graphs
Data is increasingly represented in annotated graphs, but graphs pose novel security and privacy challenges that at present lack solutions. We begin by identifying the new challenges graphs introduce and explain why existing ...