Now showing items 1-20 of 32

    • Automatic Characterization of Text Difficulty 

      Medero, Julie
      For the millions of U.S. adults who do not read well enough to complete day-to-day tasks, challenges arise in reading news articles or employment documents, researching health conditions, and a variety of other tasks. ...
    • Automatic Video Analysis for Fisheries Survey Systems 

      Chuang, Meng-Che
      Fisheries survey with the use of cameras has drawn increasing attention since it enables a non-lethal and high-resolution sampling of the fish stocks. This dissertation strives to build an automatic video analysis system ...
    • Data Selection for Statistical Machine Translation 

      Axelrod, Amittai
      Machine translation, the computerized translation of one human language to another, could be used to communicate between the thousands of languages used around the world. Statistical machine translation (SMT) is an approach ...
    • Firmware Management on Smartphone Sensing Extender 

      Prasetio, Edwin
      In this paper, I present my research on a firmware management system for a FoneAstra device that was developed to extend the sensing capability of a smartphone. The work is focused on the development of an Android applications ...
    • Graph-based Algorithms for Lexical Semantics and its Applications 

      Wu, Wei (2012-09-13)
      Lexical semantics studies the meaning of words, which is a useful tool for computer-based automatic natural language processing (NLP). This thesis explores graph-based algorithms to learn and apply distributional lexical ...
    • Graphical Models for Peptide Identification of Tandem Mass Spectra 

      Halloran, John Timothy
      Graphical models (GMs) provide a flexible framework for modeling phenomena. In the past few decades, GMs have become indispensable tools for machine learning and computational biology. They afford a wide range of modeling ...
    • Haptic Virtual Fixtures for Robotic Surgery 

      Nia Kosari, Sina (2013-11-14)
      This dissertation presents a method to protect objects from touch by the robot during teleoperation. Using the point cloud obtained in real-time by a depth camera, a virtual fixture is placed around protected areas of the ...
    • Improved Techniques for Video Compression and Communication 

      Chen, Haoming
      Video compression and communication has been an important field over the past decades and critical for many applications, e.g., video on demand, video-conferencing, and remote education. In many applications, providing ...
    • Integrated Sensors and Software for Dietary Intake Assessment 

      Shang, Junqing (2013-02-25)
      Dietary intake information is valuable for understanding the relationship between diet and health, and it is becoming increasingly important as obesity rates soar. However, obtaining valid measurements of dietary intake ...
    • Learning Features for Text Classification 

      Zhang, Bin (2013-07-25)
      Text classification is a general and important machine learning problem. For example, topic classification of text documents has been extensively studied for more than a decade, and simple word features are found to be ...
    • Learning Models of Gene Expression from Synthetic DNA Sequences 

      Rosenberg, Alexander
      Over the past decade, new sequencing technologies have enabled the comprehensive cataloging of human genetic variation, but for most DNA sequence variants we do not even understand the impact on molecular phenotype, let ...
    • Learning structured matrices in high dimensions: Low rank estimation and structured graphical models 

      Mohan, Karthik
      The topic of learning matrix structures in the emph{high-dimensional statistical setting} has received a lot of attention in machine learning, statistics and signal processing literature. High dimensional setting refers ...
    • Multi-Task Averaging: Theory and Practice 

      Feldman, Sergey (2013-04-17)
      This dissertation addresses the problem of estimating the means of multiple distributions. I begin with a brief history of the mean, leading to a discussion and literature review of Stein estimation and multi-task learning. ...
    • New Methods of Complex Matrix Factorization for Single-Channel Source Separation and Analysis 

      King, Brian John (2013-04-17)
      Throughout the day, people are constantly bombarded by a variety of sounds. Humans with normal hearing are able to easily and automatically cut through the noise to focus on the sources of interest, a phenomenon known as ...
    • An Object-Oriented Parallel Social Simulation Framework 

      Abuomar, Mohammad
      Agent-Based Modeling (ABM) is a powerful social simulation technique that employs a bottom-up approach for opinion dynamics study. In this work, we develop a social simulation framework based on ABM. The framework supporting ...
    • Optimizable Design Schemes in Communication Systems for Providing Anonymity and Confidentiality 

      Yang, Chouchang
      In applications requiring anonymity such as electronic mail, evading website censorship, and file sharing, the identities of source-destination pairs for each data flow should be untraceable. To achieve this goal, anonymous ...
    • Power, Communication and Sensing Solutions for Energy Constrained Platforms 

      Talla, Vamsi
      We live in a world where mobile devices such as smartphones, smart watches and tablets are commonplace. With rapid strides in technology, we have come a long way from the first main frame computer ENIAC, which occupied 167 ...
    • Probabilistic Inference in Modern Genetic Linkage Analysis 

      Su, Ming (2013-07-23)
      Exact inference can be computationally intractable. When it is infeasible or impractical, one often resorts to approximate methods. This thesis focuses on the algorithms for approximate inference and their applications in ...
    • Programming Molecules and Cells: Design Architectures for Chemical Reaction and Gene Regulatory Networks 

      Oishi, Kevin Takashi (2014-04-30)
      The stages of cell differentiation are often illustrated as a sequence of events and chemical cues that move a cell from one state to another. Differentiated cells send and receive signals to compute functions on their ...
    • Rank and Sparsity in Language Processing 

      Hutchinson, Brian (2013-11-14)
      Language modeling is one of many problems in language processing that have to grapple with naturally high ambient dimensions. Even in large datasets, the number of unseen sequences is overwhelmingly larger than the number ...