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Filtering by: Creator Rawson, Roy Eugene Remove constraint Creator: Rawson, Roy Eugene Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Language English [eng] Remove constraint Language: English [eng]

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  • Atomic Bifurcations of Degenerate Curves in 3D Linear Symmetric Tensor Fields

    Creator:
    Hongyu, Nie
    Abstract:
    Tensor field topology is of importance to research areas of medicine, science, and engineering. Degenerate curves are one of the crucial topological features that provide valuable insights for tensor field visualization. In this thesis, we study the atomic bifurcations of degenerate curves in 3D linear second-order symmetric tensor fields, and...
    Resource Type:
    Masters Thesis
    Full Text:
    Bifurcations of Degenerate Curves in 3D Linear Symmetric Tensor Fields Abstract approved: Eugene Zhang

  • Interactive design and transition point analysis of 3D linear symmetric tensor fields

    Creator:
    Sharma, Ritesh
    Abstract:
    3D symmetric tensor fields have a wide range of applications, such as in solid and fluid mechanics, medical imaging, meteorology, molecular dynamics, geophysics and computer graphics. There has been much research carried out in this field, yet our knowledge of the tensor field is still at its initial stage to...
    Resource Type:
    Masters Thesis
    Full Text:
    Transition Point Analysis of 3D Linear Symmetric Tensor Fields Abstract approved: Eugene Zhang 3D

  • Visualization of N-ary Relationships

    Creator:
    Qu, Botong
    Abstract:
    N-ary relationships, which relate N entities where N is not necessarily two, are omnipresent in real life. In this thesis, we develop a visualization technique for N-ary relationships. First, we propose a visual metaphor that utilizes vertices and polygons to represent entities and N-ary relationships. Based on this visual metaphor,...
    Resource Type:
    Dissertation
    Full Text:
    -ary Relationships Abstract approved: Eugene Zhang N-ary relationships, which relate N entities

  • 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:
    AN ABSTRACT OF THE THESIS OF Anirban Roy for the degree of

  • Semantic image segmentation using domain constraints

    Creator:
    Roy, Anirban
    Abstract:
    This dissertation addresses the problem of semantic labeling of image pixels. In the course of our work, we considered different types of semantic labels, including object classes (e.g., car, person), 3D depth values (in the range 0 to 80 meters), and affordance classes (e.g., walkable, sittable). Semantic pixel labeling is...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Anirban Roy for the

  • Low power scheduling schemes that consider latency and resource constraints at multiple voltages

    Creator:
    Huang, Shyh-Sen
    Abstract:
    Power reduction can be achieved at many different levels, such as architecture, algorithm, logic, and transistor levels in circuit design. This thesis focuses on low power scheduling at the algorithm level. We present a latency-constrained scheduling and a latency and resource constrained scheduling, which minimize power consumption for the resources...
    Resource Type:
    Masters Thesis

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Eugene Seo for the

  • Communication-Efficient Secure Two-Party Computation From Minicrypt and OT

    Creator:
    Roy, Lawrence
    Abstract:
    Secure two-party computation (2PC) is the task of performing arbitrary calculations on secret inputs provided by two parties, while maintaining secrecy if at least one party is honest. 2PC has been applied to privacy-preserving record linkage and machine learning, in areas such as medicine where maintaining privacy is crucial. One...
    Resource Type:
    Dissertation
    Full Text:
    Computation From Minicrypt and OT AN ABSTRACT OF THE DISSERTATION OF Lawrence Roy for the degree of Doctor

  • Hierarchical graphical models for activity recognition in videos

    Creator:
    Amer, Mohamed R.
    Abstract:
    This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by variable space-time arrangements of actions, and conducted by a variable number of actors. These activities occur frequently in sports and surveillance videos. They may appear...
    Resource Type:
    Dissertation

  • Robust and Efficient Classification of Videos in the Wild

    Creator:
    Mahasseni, Behrooz
    Abstract:
    Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...
    Resource Type:
    Dissertation
    Full Text:
    , Anirban Roy, Michael Lam, Sheng Chen, Peng Lei, Christos Margiolas, Alberto Garcia, Suren Jayasuriya and