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Filtering by: Committee Member Todorovic, Sinisa Remove constraint Committee Member: Todorovic, Sinisa Decade 2010-2019 Remove constraint Decade: 2010-2019

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  • An Empirical Evaluation of Policy Rollout for Clue

    Creator:
    Marshall, Eric
    Abstract:
    We model the popular board game of Clue as an MDP and evaluate Monte-Carlo policy rollout in a simulated environment pitting different agents and policies against each other. We describe the choices we made in the representation, along with some of the problems we encountered along the way. We find...
    Resource Type:
    Capstone Project

  • Supervised Hierarchical Segmentation for Bird Bioacoustics

    Creator:
    Tjahja, Teresa V.
    Abstract:
    Bioacoustics analysis can be used to conduct environmental monitoring by detecting the presence of birds species. This analysis usually involves identifying the species from their calls. In most frameworks, bird song syllables are extracted from audio recordings and individual syllables are input to a classifier to identify the species. Extraction...
    Resource Type:
    Masters Thesis

  • Coactive learning for multi-robot search and coverage

    Creator:
    Potanapalli, Kranti Kumar
    Abstract:
    We investigate a search and coverage planning problem, where an area of interest has to be explored by a number of vehicles, given a fixed time budget. A good coverage plan has a low probability of a target remaining unobserved. We introduce a formal problem statement, suggest a greedy algorithm...
    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
    Full Text:
    Computer Vision was started in Professor Sinisa Todorovic’s class. Thanks Professor Ren Guo for willing to

  • Flex-shape convolution and an interactive image segmentation system

    Creator:
    Zhou, Zheng
    Abstract:
    Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for researchers because of the excellent predictions from Convolutional Neural Network (CNN). However, CNNs have proven to struggle with obtaining global context of image due to...
    Resource Type:
    Masters Thesis
    Full Text:
    . Sinisa Todorovic, for his insightful computer vision course which taught me the fundamental knowledge to

  • Automatic Detection of Possessions and Shots from Raw Basketball Videos

    Creator:
    Terhuja, Vikedo
    Abstract:
    Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data without much human assistance. This information can facilitate a better understanding of patterns and strategies in various sports. However, for non-professional teams, due to expense...
    Resource Type:
    Masters Thesis
    Full Text:
    perspectives. I would also like to thank Dr. Sinisa Todorovic for his insightful suggestions and ideas. A very

  • Incorporating labeled features into image classification using generalized expectation

    Creator:
    Moore, Travis
    Abstract:
    Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
    Resource Type:
    Masters Thesis
    Full Text:
    and Dr. Todorovic for their help in completing this project, and of course my parents for their

  • On surrogate supervision multi-view learning

    Creator:
    Jin, Gaole
    Abstract:
    Data can be represented in multiple views. Traditional multi-view learning methods (i.e., co-training, multi-task learning) focus on improving learning performance using information from the auxiliary view, although information from the target view is sufficient for learning task. However, this work addresses a semi-supervised case of multi-view learning, the surrogate supervision...
    Resource Type:
    Masters Thesis
    Full Text:
    for me to finish this work. I also would like to thank Dr. Xiaoli Fern, Dr. Sinisa Todorovic, Dr

  • A Vision System for Automatic Dendrometry and Forest Mapping

    Creator:
    Wells, Lucas A.
    Abstract:
    In pursuit of global sustainability, forestry has witnessed significant shifts in practices and the development of new technologies and ideas. Primary and secondary processing industries have made substantial efforts to increase wood utilization rates, improve occupational safety and the working environment for humans, and have exhibited interest in procuring raw...
    Resource Type:
    Dissertation
    Full Text:
    ACKNOWLEDGEMENTS Project guidance Woodam Chung1 Jenny Perth2 Ed Messerlie2 Kenneth Funk1 Sinisa Todorovic1

  • Weak-supervision : Probabilistic Models and Inference

    Creator:
    Pham, Anh
    Abstract:
    In supervised learning, label information can be provided at different levels of granularity. For small datasets, it is possible to acquire a label for each data instance. However, in the big-data regime, this fine granularity approach is prohibitively costly. For example, in semi-supervised learning, only a limited number of samples...
    Resource Type:
    Dissertation
    Full Text:
    . Sinisa Todorovic, Dr. Jinsub Kim, and Dr. Jennifer Parham-Mocello providing favorable comments in my PhD