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Filtering by: Creator Horton, René N. Remove constraint Creator: Horton, René N. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Information space mapping with adaptive multiplicatively weighted Voronoi diagrams

    Creator:
    Trubin, Stanislav I.
    Abstract:
    Traditional application of Voronoi diagrams for space partitioning creates Voronoi regions, with areas determined by the generators’ relative locations and weights. Especially in the area of information space (re)construction, however, there is a need for inverse solutions; i.e., finding weights that result in regions with predefined areas. In this thesis,...
    Resource Type:
    Masters Thesis
    Full Text:
    : _____________________________________________________________________ E. N. Mortensen R. F. Reitsma Traditional application of Voronoi diagrams for space

  • Digital library software architectures : TeachEngineering case study

    Creator:
    Suryadevara, Venkata Satya Gokul
    Abstract:
    Digital libraries are digitally accessible, organized collections of knowledge. Although under this broad definition any digitally accessible data set might be considered a digital library, the term is generally reserved for collections whose structures are carefully documented and made available in the form of so-called metadata. There is no specific...
    Resource Type:
    Capstone Project
    Full Text:
    Bose Committee Member: Dr. Rene Reitsma Committee Member : Dr. Rajeev Pandey Department of

  • Information Theoretical Analysis of Self-Similar Trees

    Creator:
    Chunikhina, Evgenia V.
    Abstract:
    Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
    Resource Type:
    Dissertation
    Full Text:
    ) = (2n− 2)! n! (n− 1)! , where n = N2 and ( n k ) = n! k!(n−k)! . 2.2 Horton-Strahler ordering

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    Resource Type:
    Dissertation
    Full Text:
    lengths of T/2 n and T , which are computed by the previous layer L− 1. In (a), the output features are

  • A Deep Action Segmentation and Its Explanation with a Dictionary of Meaningful Attention Maps

    Creator:
    Trigkakis, Dimitrios
    Abstract:
    This thesis addresses the problem of temporal action segmentation in videos, where the goal is to label every video frame with the appropriate action class present. We focus on the domain of NFL football videos, where action classes represent common football play types. For action segmentation, we use a temporal...
    Resource Type:
    Masters Thesis
    Full Text:
    VAE Loss = N∑ i=1 li li(θ, φ) = −Ez∼qθ(z|xi)[log pφ(xi|z)] +KL(qθ(z|xi)||p(z)) Our intent is to

  • Action Segmentation with Limited Supervision

    Creator:
    Li, Jun
    Abstract:
    In this dissertation, we address action segmentation in videos under limited supervision. The goal of action segmentation is to predict an action class for each frame of a video. The limited supervision means ground truth labels of video frames are not available in training. We focus on three types of...
    Resource Type:
    Dissertation
    Full Text:
    for computing the cross-entropy loss and n-pair loss. . . . . . . . . . . . . . . . . 37 4.9 Our SCV

  • A nano-power wake-up circuit for RF energy harvesting wireless sensor networks

    Creator:
    Lindsley, Christopher J.
    Abstract:
    A fully integrated CMOS latched comparator is presented for use as a wake-up circuit that is attached to an RF energy harvester in a battery free wireless sensor network. The system consumes less than 36nA static current at 20°C and dissipates 2pJ of energy per conversion. The comparator comprises of...
    Resource Type:
    Masters Thesis
    Full Text:
    thank my fiancée, Sarah René Jean, who has been there for me every day as I have worked to complete my

  • Solar Photovoltaics: Comparisons of Different Approaches and Technologies

    Creator:
    Louie, Michael Y. K.
    Abstract:
    Solar photovoltaic is considered one among many new alternatives to satisfy our demand for energy. Solar Cells have undergone changes in the last 50 years or so since its invention in 1954. Solar power is beginning to challenge conventional energy sources in terms of mainstream acceptance. Solar power along with...
    Resource Type:
    Capstone Project
    Full Text:
    .................................................................................. 3 2.2. Basic Structure of Modern N-P-P+ Crystalline Silicon Solar Cell

  • Quantum dots-fullerene based molecular beacons for highly sensitive DNA detection

    Creator:
    Liu, Ye
    Abstract:
    We demonstrated a low-cost and high-sensitivity DNA detection method using quantum dot-fullerene based molecular beacons (MBs) and magnetic nanoparticles. The MB tethered magnetic nanoparticles can be well dispersed in analytes for efficient DNA capture and concentrated by an external magnetic field for enhanced fluorescence signal detection. The detection requires only...
    Resource Type:
    Masters Thesis
    Full Text:
    )silane, hexadecyltrimethylammoniumbromide (CTAB), tris(2- carboxyethyl)phosphine hydrochloride, n-[3

  • Learning affinities of exemplar videos for multi-view action recognition

    Creator:
    Roy, Anirban
    Abstract:
    This thesis addresses a fundamental computer vision problem, that of action recognition. The goal of action recognition is to recognize a class of human actions in a given video. Action recognition has a wide range of applications, including automated surveillance, sports video analysis, internet-based searches etc. The main challenge is...
    Resource Type:
    Masters Thesis
    Full Text:
    Mi fea- tures, we define an Mj ×Mi similarity matrix, Xji = [Xji(m,n)], where Xji(m,n)≥0 represents