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Chapter and Conference Paper
Learning Manifolds in Forensic Data
Chemical data related to illicit cocaine seizures is analyzed using linear and nonlinear dimensionality reduction methods. The goal is to find relevant features that could guide the data analysis process in ch...
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Chapter
Deep Learning via Semi-supervised Embedding
We show how nonlinear semi-supervised embedding algorithms popular for use with “shallow” learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regular...