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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...
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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...