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

書誌詳細
第一著者: Soriano, Maricor Narvaez 1970-
フォーマット: 学位論文
言語:English
主題:
Principal components analysis.
Image processing > Digital techniques.
Neural networks (Neurobiology)
Nuclear reactors > Noise.
Random noise theory.