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  1. Article

    Open Access

    Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions

    Science teams for rover-based planetary exploration missions like the Mars Science Laboratory Curiosity rover have limited time for analyzing new data before making decisions about follow-up observations. Ther...

    Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue in Data Mining and Knowledge Discovery (2020)

  2. No Access

    Article

    Visualizing image content to explain novel image discovery

    The initial analysis of any large data set can be divided into two phases: (1) the identification of common trends or patterns and (2) the identification of anomalies or outliers that deviate from those trends...

    Jake H. Lee, Kiri L. Wagstaff in Data Mining and Knowledge Discovery (2020)

  3. No Access

    Reference Work Entry In depth

    Constrained Clustering

    Kiri  L. Wagstaff in Encyclopedia of Machine Learning and Data Mining (2017)

  4. No Access

    Reference Work Entry In depth

    Constrained Clustering

    Kiri L. Wagstaff in Encyclopedia of Machine Learning (2010)

  5. No Access

    Article

    Progressive refinement for support vector machines

    Support vector machines (SVMs) have good accuracy and generalization properties, but they tend to be slow to classify new examples. In contrast to previous work that aims to reduce the time required to fully c...

    Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni in Data Mining and Knowledge Discovery (2010)