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Filtering by: Creator Guo, Jia Remove constraint Creator: Guo, Jia Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • Compensation method of the excess loop delay in continuous-time delta-sigma ADCs based on model matching approach

    Creator:
    Guo, Jia
    Abstract:
    Continues-Time (CT) Delta-Sigma (ΔΣ) Analog-to-Digital Converters (ADCs) have one important constrain, namely the excess loop delay. Most previous excess lop delay compensation methods need to know the exact value of the excess loop delay in advance. However, the value of the excess loop delay is a uniformly distribution random variable....
    Resource Type:
    Masters Thesis
    Full Text:
    -Time Delta-Sigma ADCs Based on Model Matching Approach AN ABSTRACT OF THE THESIS OF Jia Guo

  • Object highlighting : real-time boundary detection using a Bayesian network

    Creator:
    Jia, Jin
    Abstract:
    Image segmentation continues to be a fundamental problem in computer vision and image understanding. In this thesis, we present a Bayesian network that we use for object boundary detection in which the MPE (most probable explanation) before any evidence can produce multiple non-overlapping, non-self-intersecting closed contours and the MPE with...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Jin Jia for the degree of Master

  • Relational Learning over Dirty Data Using Data Constraints

    Creator:
    Lee, Ga Young
    Abstract:
    Real-world datasets are dirty and contain many errors. Examples of these issues are violations of integrity constraints, duplicates, and inconsistencies in representing data values and entities. Applying machine learning on dirty databases may lead to inaccurate results. Users have to spend a lot of time and effort repairing data errors...
    Resource Type:
    Masters Thesis
    Full Text:
    my committee members, Professor Liang Huang, Professor Weng- Keen Wong, and Professor Ren Guo

  • 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
    Full Text:
    Computer Vision was started in Professor Sinisa Todorovic’s class. Thanks Professor Ren Guo for willing to

  • Spatiotemporal Phytohormone Distributions in Developing Pinot Noir Berries and the Effects of Two Viticulture Practices Thereon

    Creator:
    Schmidt, Joseph A.
    Abstract:
    In recent years, many studies have focused on the molecular and biochemical mechanisms regulating the development of wine grapes. The course of grape berry development is directed by genetic design and is mediated by phytohormones, which regulate grape berry growth and development by orchestrating a complex network of interacting genes,...
    Resource Type:
    Masters Thesis
    Full Text:
    berry (Jia et al. 2017). The osmotic gradient created by the increase in soluble solids results in the

  • Window Axial Vision Transformer for Image Classification

    Creator:
    Lee, Jisoo
    Abstract:
    Currently, a popular approach to image classification uses the deep Transformer architecture. In a Transformer, the attention mechanism enables the model to learn efficiently with fewer computational resources than the convolutional neural networks (CNNs). In this thesis, we study the sparse attention mechanism widely used in the Transformers developed specifically...
    Resource Type:
    Masters Thesis
    Full Text:
    Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke

  • Synthesis and characterization of palladium/polycarbonate nanocomposites

    Creator:
    Onbattuvelli, Valmikanathan P.
    Abstract:
    Metal/polymer nanocomposites are of increasing importance with their tunable properties being used in catalysis and sensors. Previous studies have focused on the effects of metal content, molecular weight of polymer and reaction conditions on the structure- property relationship of the metal/polymer nanocomposites. This thesis focuses on the effect of two...
    Resource Type:
    Masters Thesis
    Full Text:
    stabilize the metal nanoclusters. Jia et al [29] and Zhu et al [30] studied the effect of the chain

  • Towards Annotation-Efficient Video Representation Learning

    Creator:
    Patravali, Jay Sanjay
    Abstract:
    Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
    Resource Type:
    Masters Thesis

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis

  • Antibiotic Resistance in Treated Wastewater Effluent and Biosolids and Fate after Agricultural Reuse

    Creator:
    Mays, Catherine M.
    Abstract:
    Conventional wastewater treatment facilities using activated sludge, secondary clarifiers, and chlorine disinfection comprise a large portion of urban wastewater treatment practices in the United States. While highly adept at removing chemical, physical, and numerous biological contaminants, these treatment methods are ineffective at removing contaminants of emerging concern, such as antibiotics...
    Resource Type:
    Masters Thesis