Browsing Computer science and engineering by Title
Now showing items 318-337 of 433
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Quantifying wellness and disease with personal, dense, dynamic data clouds
Precision Medicine, where medical treatment is guided by deep molecular knowledge of the individual, has gained momentum in recent years. Rapid advancement in biological measurement technologies such as genome sequencing, ... -
Quantum Computation and Isomorphism Testing
In this thesis, we study quantum computation and algorithms for isomorphism problems. Some of the problems that we cover are fundamentally quantum and therefore require quantum techniques. For other problems, classical ... -
Quantum Machine Learning Without Any Quantum
Could quantum machine learning someday run faster than classical machine learning? Over the past decade, the field of QML has produced many proposals for attaining large quantum speedups for computationally intensive tasks ... -
Quantum-inspired Machine Learning with Hidden Quantum Markov Models and Tensor Networks
The prospect of blending ideas from quantum information and machine learning has garnered interest in recent years, driven by their shared mathematical foundations in linear algebra and probability. A common way to categorize ... -
Query Processing for Massively Parallel Systems
The need to analyze and understand big data has changed the landscape of data management over the last years. To process the large amounts of data available to users in both industry and science, many modern data management ... -
Radiomic and Genomic Approaches to Survival Stratification in Adult-type Diffuse Glioma
Adult-type diffuse gliomas are the most common primary adult malignant brain tumors and are generally considered incurable. Alongside tumor molecular heterogeneity and barriers to drug delivery, inadequate survival ... -
Reading to Learn
Traditional machine learning systems are trained on vast quantities of annotated data or experience. These systems often do not generalize to new, related problems that emerge after training, such as conversing about new ... -
Realistically Editing Indoor Scenes
Mixed reality is an exciting application of computer graphics that seamlessly combines the real and the virtual. Many of the most compelling mixed reality applications involve modifying the contents of the surrounding ... -
Reconstructing and Rendering People from Photos and Videos in the Wild
Reconstructing and producing photorealistic renderings of dynamic humans from RGB images has long been considered a holy grail in the fields of computer vision and graphics. Such a capability would open up a wide range of ... -
Reconstruction and Visualization of Architectural Scenes
Can we experience a scene virtually, such as the Colosseum in Rome, without ever having to visit it? Such an experience should replicate the feeling of being physically present, in terms of being able to visualize the scene ... -
Reducing the Usability Barrier to Specification and Verification
A program specification is a contract between a client and a program, which describes how the program can or will behave given input from the client. In practice, formal (machine-verified) specifications take more effort ... -
Relation Extraction: from Ontological Smoothing to Temporal Correspondence
Relation extraction, the task of extracting facts from natural language text and creating machine readable knowledge, is a great dream of artificial intelligence. Today, most approaches to relation extraction are based on ... -
Relational Programming
Relational databases have become one of the most important software components in the world, ubiquitous in computing systems from smartphones to data centers. Nevertheless, traditional relational databases are struggling ... -
Representation of d-dimensional geometric objects
(1990)This work investigates data structures and algorithms for representing and manipulating d-dimensional geometric objects for arbitrary d $\le$ 1. These objects are often described by a set of basic building blocks, together ... -
Robot Motion Planning with Uncertainty and Urgency
As robots are introduced to a wider variety of real-world domains–factories, roads, and homes–they must be able to reliably operate with incomplete knowledge of the cluttered-but-structured environment. This dissertation ... -
Robust Submodular Partitioning and Linear Models of Deep ReLU Networks
Machine learning models, especially deep neural networks, have achieved great success in numerous real-world tasks. As we achieve better performance with larger models, one major challenge emerges that the costs of training ... -
Role oriented programming for software evolution
(1997)This thesis addresses the problem of changing requirements in software evolution. It presents a method of development and change based on roles, where a role, in object oriented development, is a part of an object that ... -
Rounding
Computer number systems are one of the most fundamental interfaces between software and hardware, but despite recent interest they are rarely studied. We present a suite of tools and techniques to make it easier for both ... -
Runtime Optimizations for Large-Scale Data Analytics
Large-scale data analytics is key to modern science, technology, and business development. Big data systems have emerged rapidly in recent years, but modern data analytics remains challenging due to application requirements. ... -
Runtime Repair and Enhancement of Mobile App Accessibility
Mobile devices and applications (apps) have become ubiquitous in daily life. Ensuring full access to the wealth of information and services they provide is a matter of social justice. Unfortunately, many capabilities and ...