Compressive Mahalanobis classifiers

We propose a new framework for detection/estimation designed to avoid the loss of salient information in the process of reducing the dimensionality of digitized data. The main idea is a semi-supervised learning pre-processing scheme based on compressed sensing. The proposed approach combines a first...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Barbano, P.E., Coifman, R.R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Compressed sensing Data acquisition Dimensionality Reduction Hyperspectral imaging Hyperspectral sensors Image reconstruction Image sampling Interference Mathematics Pattern Recognition Reconstruction algorithms Semi-Supervised Learning Semisupervised learning
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