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Filtering by: Creator Tsai, Jean-duan Remove constraint Creator: Tsai, Jean-duan Committee Member Kim, Jinsub Remove constraint Committee Member: Kim, Jinsub

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  • Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

    Creator:
    Vu, Trung
    Abstract:
    Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
    Resource Type:
    Dissertation

  • Learning algorithms for adapting the compliance of robotic limbs

    Creator:
    Aboufazeli, Mahtab
    Abstract:
    Motivation: Many robots such as legged robots and prosthetic hands/arms are designed to interact with uncertain and time-varying environments to accomplish their tasks. Observations on humans and animals during their daily tasks suggest that they adapt their leg compliance while traversing with different velocities on different grounds and adjust their...
    Resource Type:
    Dissertation
    Full Text:
    , Duan et al. [83] presented a force tracking algorithm in uncertain environments using an adaptive

  • Position estimation in indoor localization with trilateration

    Creator:
    Su, Zhenqiang
    Abstract:
    Triangulateration uses geometric distance to estimate the location of user by employing techniques like received signal strength (RSS), time-of-arrival (TOA), time-difference-of-arrival (TDOA) and image processing. Radio frequency (RF) signal positioning using TOA or TDOA techniques generally requires timing synchronization of the anchors and/or the anchors and targets. If the desired...
    Resource Type:
    Dissertation

  • Regularization-Based Data Integration and Its Application to Genome-Wide Association Studies

    Creator:
    Li, Kai
    Abstract:
    In genome-wide association studies, it is often challenging to have consistent findings from independent studies. This "lack of reproducibility" issue is partially caused by the relatively small sample size compared to the number of genetic markers in every single study. Therefore, researchers have developed statistical methods to integrate multiple studies...
    Resource Type:
    Dissertation