Now showing items 1-20 of 179

    • 3D Object Representations for Robot Perception 

      Burchfiel, Benjamin Clark Malloy (2019)
      Reasoning about 3D objects is one of the most critical perception problems robots face; outside of navigation, most interactions between a robot and its environment are object-centric. Object-centric robot perception has ...
    • A Data-Intensive Framework for Analyzing Dynamic Supreme Court Behavior 

      Calloway, Timothy Joseph (2012)
      Many law professors and scholars think of the Supreme Court as a black box--issues and arguments go in to the Court, and decisions come out. The almost mystical nature that these researchers impute to the Court seems to ...
    • A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms 

      Li, Bai (2017)
      Differential privacy (DP) aims to design methods and algorithms that satisfy rigorous notions of privacy while simultaneously providing utility with valid statistical inference. More recently, an emphasis has been placed ...
    • A Q-Learning Approach to Minefield Characterization from Unmanned Aerial Vehicles 

      Daugherty, Stephen Greyson (2012)
      The treasure hunt problem to determine how a computational agent can maximize its ability to detect and/or classify multiple targets located in a region of interest (ROI) populated with multiple obstacles. One particular ...
    • A Semi-Supervised Predictive Model to Link Regulatory Regions to Their Target Genes 

      Hafez, Dina Mohamed (2015)
      Next generation sequencing technologies have provided us with a wealth of data profiling a diverse range of biological processes. In an effort to better understand the process of gene regulation, two predictive machine learning ...
    • A Theoretical and Experimental Study of DNA Self-assembly 

      Chandran, Harish (2012)
      The control of matter and phenomena at the nanoscale is fast becoming one of the most important challenges of the 21st century with wide-ranging applications from energy and health care to computing and material science. ...
    • Accelerator Architectures for Deep Learning and Graph Processing 

      Song, Linghao (2020)
      Deep learning and graph processing are two big-data applications and they are widely applied in many domains. The training of deep learning is essential for inference and has not yet been fully studied. With data forward, ...
    • Algorithms for Allocation Problems in Online Settings 

      Kell, Nathaniel Brian (2018)
      A fundamental computational challenge that arises in the operation of online systems, services, and platforms is that of resource allocation. Broadly defined, a resource allocation problem is one where set of users generate ...
    • Algorithms for Analyzing Spatio-Temporal Data 

      Nath, Abhinandan (2018)
      In today's age, huge data sets are becoming ubiquitous. In addition to their size, most of these data sets are often noisy, have outliers, and are incomplete. Hence, analyzing such data is challenging. We look at applying ...
    • Algorithms for continuous queries: A geometric approach 

      Yu, Albert (2013)
      There has been an unprecedented growth in both the amount of data and the number of users interested in different types of data. Users often want to keep track of the data that match their interests over a period of time. ...
    • Algorithms for Geometric Matching, Clustering, and Covering 

      Pan, Jiangwei (2016)
      With the popularization of GPS-enabled devices such as mobile phones, location data are becoming available at an unprecedented scale. The locations may be collected from many different sources such as vehicles moving around ...
    • Algorithms for Networks With Uncertainty 

      Haney, Samuel Mitchell (2019)
      In this dissertation, we study algorithmic problems motivated by the optimization of networks under uncertainty.We summarize our contributions:\begin{itemize}\item \textbf{Subset $k$-server:} We propose and give algorithms ...
    • Algorithms for Public Decision Making 

      Fain, Brandon Thomas (2019)
      In public decision making, we are confronted with the problem of aggregating the conflicting preferences of many individuals about outcomes that affect the group. Examples of public decision making include allocating shared ...
    • Algorithms for the Reeb Graph and Related Concepts 

      Parsa, Salman (2014)
      This thesis is concerned with a structure called the Reeb graph. There are three main problems considered. The first is devising an efficient algorithm for comnstructing the Reeb graph of a simplicial complex with respect ...
    • Algorithms for Two-sided Online Marketplaces 

      Alijani, Reza (2020)
      The recent emergence of new successful two-sided online platforms has transformed the concept of a marketplace. Numerous two-sided mechanism design problems, including those studied in this thesis, are motivated by these ...
    • Algorithms with Applications to Anthropology 

      Ravier, Robert James (2018)
      In this dissertation, we investigate several problems in shape analysis. We start by discussing the shape matching problem. Given that homeomorphisms of shapes are computed in practice by interpolating sparse correspondence, ...
    • All-Near-Neighbor Search Among High-Dimensional Data via Hierarchical Sparse Graph Code Filtering 

      Iliopoulos, Alexandros Stavros (2020)
      This thesis addresses the problem of all-to-all near-neighbor (all-NN) search among a large dataset of discrete points in a high-dimensional feature space endowed with a distance metric. Near-neighbor search is fundamental ...
    • An Exploratory Study of Cell Growth and Division Data 

      Niu, Tong (2016)
      Understanding the mechanism behind cell-size control of bacteria such as E. coli has been an active research topic for decades. Until about 2010, most studies were limited to measurements at the cell population level. Recently ...
    • Appearance-based Gaze Estimation and Applications in Healthcare 

      Chang, Zhuoqing (2020)
      Gaze estimation, the ability to predict where a person is looking, has become an indispensable technology in healthcare research. Current tools for gaze estimation rely on specialized hardware and are typically ...
    • Applications of Deep Representation Learning to Natural Language Processing and Satellite Imagery 

      Wang, Guoyin (2020)
      Deep representation learning has shown its effectiveness in many tasks such as text classification and image processing. Many researches have been done to directly improve the representation quality. However, how to improve ...