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Filtering by: Committee Member Todorovic, Sinisa Remove constraint Committee Member: Todorovic, Sinisa Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

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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

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    to each member of my committee: Prof. Sinisa Todorovic, Prof. Raviv Raich, Prof. Prasad Tadepalli

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation
    Full Text:
    meetings and serving on my committee. I thank the rest of my committee members: Prasad Tadepalli, Sinisa

  • Object Tracking-by-Segmentation in Videos

    Creator:
    Chen, Sheng
    Abstract:
    This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
    Resource Type:
    Dissertation
    Full Text:
    also like to thank Prof Todorovic. I always treat you as my co-advisor and I’m very thankful to all

  • Toward computer vision for understanding American football in video

    Creator:
    Hess, Robin W.
    Abstract:
    In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
    Resource Type:
    Dissertation
    Full Text:
    . Ron Metoyer, Dr. Sinisa Todorovic, and Dr. Eric Mortensen. Through working with each of you in