Search Constraints

Start Over
Filtering by: Creator Xiao, Dong Remove constraint Creator: Xiao, Dong License All rights reserved Remove constraint License: All rights reserved

Search Results

  • Validation of Design For Additive Manufacturing Heuristics for Aperiodic Structures through Application to Regular Structures

    Creator:
    Schipper, Paxton
    Abstract:
    Aperiodic structures cause significant challenges to subtractive manufacturing methods due to the common features such as inaccessible voids within the structure. Additive man- ufacturing presents an appealing alternative for this purpose. The aim of this research is to test analysis heuristics for validity through application to periodic structures. First, a...
    Resource Type:
    Honors College Thesis
    Full Text:
    :_____________________________________________________ Andy Dong Aperiodic structures cause significant challenges to subtractive manufacturing

  • Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

    Creator:
    Shrestha, Sagar
    Abstract:
    Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
    Resource Type:
    Masters Thesis
    Full Text:
    Imitation Learning For Optimal Joint Beamforming and Antenna Selection Abstract approved: Xiao Fu

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    : Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms Abstract approved: Xiao Fu

  • Weak-supervision Time-series Analysis

    Creator:
    You, Zeyu
    Abstract:
    Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications. Time-series analysis involves a variety of tasks. To predict future...
    Resource Type:
    Dissertation
    Full Text:
    : Prof. Xiaoli Fern, Prof. Jinsub Kim, Prof. Xiao Fu, Prof. Sarah Emerson, Prof. Liang Huang and Prof

  • 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:
    Oregon State University. Futher, I would like to thank Zhongang Qi and Xiao Fu for the joint discussions

  • 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

  • Structure-property relationships of layered oxypnictides

    Creator:
    Muir, Sean W.
    Abstract:
    Investigating the structure-property relationships of solid state materials can help improve many of the materials we use each day in life. It can also lead to the discovery of materials with interesting and unforeseen properties. In this work the structure property relationships of newly discovered layered oxypnictide phases are presented...
    Resource Type:
    Dissertation

  • Cultural differences and business interaction : an analysis of conflicts between Chinese and American ways of life

    Creator:
    Chen, Yuejian, 1958-
    Abstract:
    This study uses an anthropological perspective to discuss the cultural differences between Chinese and Americans in business contexts. Through an analysis of case studies related by businesspersons involved in Sino-US trade, and by an analysis of literature on the subject, it describes how cultural differences contribute to the problems and...
    Resource Type:
    Masters Thesis

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis

  • Applications of Magnetic Materials in Soft Robotics

    Creator:
    Davis, William M.
    Abstract:
    Magnetic materials can be used in modern soft robotics as a method for external stimulus actuation and motion control. By combining aspects of biology and mechanics, devices are fabricated to create a structure capable of complex movement. Applications that these devices are subject to can be broken down into four...
    Resource Type:
    Capstone Project
    Full Text:
    . Bi, A. Sutor, R. Lerch, and Y. Xiao, “A measurement setup for acquiring the local magnetic