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Filtering by: Creator Song, Sarah Sungsook Remove constraint Creator: Song, Sarah Sungsook Peer Reviewed No Remove constraint Peer Reviewed: No Subject Machine learning Remove constraint Subject: Machine learning

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  • 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:
    like to thank Matthew Betts and Sarah Frey for their help in collecting the bird song recordings and

  • 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:
    , traditional observation methods are labor- intensive. Most prior work on machine learning for bird song is

  • Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale

    Creator:
    Hooper, Samuel
    Abstract:
    Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and influential environmental conditions. In this research, we considered both spatial and temporal scale and the influence each has on predicting broad-scale distributions of two disparate...
    Resource Type:
    Masters Thesis
    Full Text:
    Van Neil 2011; Gottschalk et al. 2011; Song et al. 2013). For many applications, differences in the

  • Improving robotic grasping performance using machine learning techniques

    Creator:
    Goins, Alex Keith
    Abstract:
    Robots are being utilized in ever more complex tasks and environments to help humans with difficult or dangerous tasks. However, robotic grasping is still in its infancy and is one of the limiting factors which prevent the deployment of robots in the home and other assisted living scenarios. Traditional methods...
    Resource Type:
    Masters Thesis
    Full Text:
    ) Sarah (b) Shadow (c) iRobot (d) Sandia. 3 2.1 Flow chart of experimental procedure

  • Machine learning for improving the quality of citizen science data

    Creator:
    Yu, Jun
    Abstract:
    Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
    Resource Type:
    Dissertation
    Full Text:
    , Janardhan Rao Doppa, Shubhomoy Das, Tom Dietterich, Susan Shirley, Sarah Frey, Matt Betts and Julia Jones