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  1. Chapter and Conference Paper

    Large-Scale Clustering through Functional Embedding

    We present a new framework for large-scale data clustering. The main idea is to modify functional dimensionality reduction techniques to directly optimize over discrete labels using stochastic gradient descent...

    Frédéric Ratle, Jason Weston… in Machine Learning and Knowledge Discovery i… (2008)

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    Chapter and Conference Paper

    A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data

    This paper investigates the application of novelty detection techniques to the problem of drug profiling in forensic science. Numerous one-class classifiers are tried out, from the simple k-means to the more e...

    Frédéric Ratle, Mikhail Kanevski… in Intelligent Data Engineering and Automated… (2007)