Improved classification of noisy microscopic images by a neural network with principal component projections as inputs

Improved classification of noisy microscopic images by a neural network with principal component projections as inputs

Dettagli Bibliografici
Autore principale: Soriano, Maricor Narvaez 1970-
Natura: Tesi
Lingua:English
Soggetti:
Principal components analysis.
Image processing > Digital techniques.
Neural networks (Neurobiology)
Nuclear reactors > Noise.
Random noise theory.