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Filtering by: Creator Emenger, Robert S. Remove constraint Creator: Emenger, Robert S. Committee Member Fern, Alan Remove constraint Committee Member: Fern, Alan Subject Computer algorithms Remove constraint Subject: Computer algorithms

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  • Predicting activity type from accelerometer data

    Creator:
    Zheng, Yonglei
    Abstract:
    The study of physical activity is important in improving people’s health as it can help people understand the relationship between physical activity and health. Accelerometers, due to its small size, low cost, convenience and its ability to provide objective information about the frequency, intensity, and duration of physical activity, has...
    Resource Type:
    Masters Thesis
    Full Text:
    i=1 si. O(N) [5, 6, 19, 28, 29] 3. Standard deviation: σs = √ 1 N ∑N i=1(si − us). O(N) [5, 6

  • 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:
    , if a segment has a SIFT vector s, and it is clustered into group j, then we say that the feature