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Browsing Computer science and engineering by Title
Now showing items 95-114 of 433
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Crowd-Driven Computer Vision
Artificial intelligence and machine learning are rapidly advancing the ability of computers to see, listen, understand, and interact in the real world. Data is crucial to training these systems, and the quality of the data, ... -
Curating Visual Information in Sequential Decision Making Problems
Images often contain both too much and not enough information. When an image is cluttered and contains many irrelevant details, this extra information can make it challenging to learn which parts are necessary, and how ... -
Curriculum Learning: from Human Strategies to Learning Dynamics
The recent success of machine learning (ML), or "the third wave of artificial intelligence (AI)", is built upon computational methods from the fields of optimization and statistics, the availability of large-scale training ... -
Data analysis tools for statistical non-experts
Data analysis is critical to science, public policy, and business. Despite their importance, statistical analyses are difficult to author, especially for researchers with expertise outside of statistics. Existing statistical ... -
Data Models, Query Execution, and Storage for Traditional & Immersive Video Data Management
The proliferation of cameras deployed throughout our world is enabling and accelerating exciting new applications such as virtual and augmented reality (VR and AR), autonomous driving, drone analytics, and smart infrastructure. ... -
Data Storage and Exploration in a Video Data Management System
Increasingly many scientific and engineering domains rely on video data, which is information dense and relatively easy to collect. At the same time, recent advances in computer vision and machine learning have opened the ... -
Data Structure Synthesis
Data structures are integral to software. Many programs require custom application-specific data structures more complicated than those found in standard libraries. Implementing and maintaining application-specific data ... -
Data-Constrained Model Compression
In recent years, strong progress has been made in compressing compute-heavy machine learning models to enable them to execute in real-time on edge devices. Typically, model compression techniques require retraining a model ... -
Data-driven Approaches for Personalized Head Reconstruction
Personalized 3D face reconstruction has produced exciting results over the past few years. However, traditional methods usually require complicated setups or controlled environments to get the detailed shape of a person's ... -
Decentralized object finding using forwarding address
(1985)A problem that must be solved in designing a large distributed computing system is ensuring that processors can "find" all of the "objects" that they have the right to access. To avoid the potential reliability problems ... -
Deep Facial Expression Modeling and 3D Motion Retargeting from 2D Images
Facial expression modeling and motion retargeting, which involves estimating the 3D motion of a human face from a 2D image and transferring it to a 3D character, is an important problem in both computer graphics and computer ... -
Deep Learning for Transcriptomics and Proteomics
Improvements in sequencing technologies increased the availability of omics data, such as transcriptomics and proteomics, providing information about various molecular mechanisms from complementary angles. These measurements ... -
Design and Control of an Anthropomorphic Robotic Hand: Learning Advantages From the Human Body & Brain
According to the cortical homunculus, our hand function requires over one quarter of the brain power allocated for the whole body's motor/sensory activities. The evolutionary role of the human hand is more than just being ... -
The design and implementation of a region-based parallel programming language
(2001)Programming parallel computers is an extremely challenging task for expert computer programmers, let alone for scientists in other disciplines whose computations often drive the acquisition of such machines. This dissertation ... -
Designing for Effective End-User Interaction with Machine Learning
(2013-02-25)End-user interactive machine learning is a promising tool for enhancing human capabilities with data. Recent work has shown that we can create specific applications that employ end-user interactive machine learning. However, ... -
Designing for User-facing Uncertainty in Everyday Sensing and Prediction
As we reach the boundaries of sensing systems, we are increasingly building and deploying ubiquitous computing solutions that rely heavily on inference. This is a natural trend given that sensors have physical limitations ... -
Designing Interactive Data-driven Tools for Understanding Urban Accessibility at Scale
Accessibility of urban infrastructure affects the mobility and safety of people, but disproportionately affects people with mobility disabilities. For example, missing curb ramps and uprooted sidewalks can significantly ... -
Designing Personal Health Technologies for Translating Population-Level Evidence into Personal Understanding
Growing interest in better tracking and managing health is leading a global market for self-monitoring technologies to reach an estimated $72 billion by 2022. This boom has contributed to a new potential to support people ... -
Designing Storage and Privacy-Preserving Systems for Large-Scale Cloud Applications
Today's mobile devices sense, collect, and store huge amounts of personal information, which users share with family and friends through a wide range of cloud applications. Many of these applications are large-scale -- ... -
Designing Technology for Existing Infrastructure in the Developing World
Technology can be built for the developing world using existing infrastructure. Mobile and web technologies have become sufficiently ubiquitous that they can serve as powerful platforms even in low-resource settings where ...