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Filtering by: Subject Hydraulics -- Data processing Remove constraint Subject: Hydraulics -- Data processing Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv Decade 2010-2019 Remove constraint Decade: 2010-2019

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  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation
    Full Text:
    monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    thank Xiaoli Fern and Raviv Raich, who have done excellent work on processing the bird acoustic data

  • Optimal load and resource balance in internet distributed systems

    Creator:
    Nishida, Hiroshi
    Abstract:
    A distributed system is a network of multiple autonomous computational nodes designed primarily for performance scalability and robustness. The performance of a distributed system depends critically on how tasks and resources are distributed among the nodes. Thus, a main thrust in distributed system research is to design schemes for distributing...
    Resource Type:
    Dissertation
    Full Text:
    uncooperative peers, or free riders who only download data from other peers without sharing their data with

  • Simultaneous segmentation and classification of bird song using CNN

    Creator:
    Narasimhan, Revathy
    Abstract:
    In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
    Resource Type:
    Masters Thesis
    Full Text:
    -Decoder Convolutional Neural Network . . . . . . . . . . . . . . . 13 4.3.1 Post processing

  • Algorithms for massive biological datasets

    Creator:
    Bryant, Douglas W. (Douglas Wesley)
    Abstract:
    Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
    Resource Type:
    Dissertation
    Full Text:
    purely empirical short-read data. Fi- nally, we outline current state-of-the-art methods for discovering