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Filtering by: Creator Li, Xu Remove constraint Creator: Li, Xu Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Classifying and Synthesizing 3D Shapes of Objects using Deep Neural Networks

    Creator:
    Xu, Xu
    Abstract:
    Reasoning about 3D shape of objects is important for successful computer visionapplications in robotics, 3D rendering and modeling. In this thesis, we address twoproblems { First, given an image, we generate 3D shape of the foreground object thatappears in the image. Second, we predict the class label of the input...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Xu Xu for the degree of Master

  • Feedback in multiple antenna wireless communication systems

    Creator:
    Xu, Tao
    Abstract:
    Multiple-input multiple-output wireless systems promise significant capacity gain and/or diversity gain over single antenna systems. If channel state information (CSI) is available at both the transmitter and the receiver, the performance can be further improved. In this thesis, first, we study binary index feedback problem in beamforming systems when the...
    Resource Type:
    Dissertation
    Full Text:
    disertation.dvi AN ABSTRACT OF THE THESIS OF Tao Xu for the

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Tanjin Xu for the degree of

  • Power-Efficient Design Techniques and Architectures for Scalable Submicron Analog Circuits

    Creator:
    Xu, Yang
    Abstract:
    As the CMOS process scales down to submicron, digital circuit performance improves, while reduced supply voltage and lower transistor intrinsic gain make it difficult to implement analog circuits in a power efficient manner. Therefore, it has become advantageous to shift more analog signal processing functions conventionally realized in voltage (analog)...
    Resource Type:
    Dissertation
    Full Text:
    Yang Xu for the degree of Doctor of Philosophy in Electrical and Computer Engineering presented on

  • Representing Program Edits with the Choice Calculus

    Creator:
    Xu, Keying
    Abstract:
    The problem of supporting more advanced selective undo operations has received a lot of attention. However, selective undo is generally missing in commonly used editors. Moreover, partial selective undo, the ability of undoing just part of some edit so that other edits may be undone, is not supported at all....
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE PROJECT DESCRIPTION OF Keying Xu for

  • Learning ranking functions for efficient search

    Creator:
    Xu, Yuehua
    Abstract:
    This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam search, greedy search, and randomized search, which all aim to maintain tractability at the cost of not guaranteeing completeness nor optimality. Our learning objective for...
    Resource Type:
    Dissertation
    Full Text:
    C:/Users/Xu/Documents/TexProjects/thesis/thesis.dvi AN ABSTRACT

  • Contributions to substrate noise due to supply coupling and pin parasitics

    Creator:
    Adluri, Sirisha
    Abstract:
    This thesis presents the contributions to substrate noise due to supply coupling and the effect of pin parasitics on the substrate noise generated by digital circuits. Various sources of substrate noise and their effect on analog circuits sharing the same substrate are discussed. A simulation approach to isolate the various...
    Resource Type:
    Masters Thesis
    Full Text:
    confidence to continue in the field of Analog Circuits. I would like to thank Dr. Chengang Xu and Dr. Dean

  • Analysis and modeling of substrate noise coupling for NMOS transistors in heavily doped substrates

    Creator:
    Hsu, Shu-ching
    Abstract:
    This thesis examines substrate noise coupling for NMOS transistors in heavily doped substrates. The study begins with the analysis of an NMOS transistor switching noise in a digital inverter at the device level. A resistive substrate network for the NMOS transistor is proposed and verified. Coupling between N+- P+ contacts...
    Resource Type:
    Masters Thesis
    Full Text:
    Xu and Dr. Keith Levien for being my committee members. I would like to thank Dr. Chenggang Xu again

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Fuxin Li In this thesis, we introduce a novel Explanation Neural Network (XNN) to

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis
    Full Text:
    Plant Phenomics Abstract approved: Fuxin Li The abilities of plant biologists to characterize the