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Your search for [author]Soriano, Maricor N. returned 12 records. |
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Improved classification of noisy microscopic images by a neural network with principal component projections as inputs.
by Soriano, Maricor N.; 1997.
Subject: Computer pattern recognition; Pattern recognition system; Image processing; Neural networks (Computer science).
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Principal components obtained from a learning net as preprocessor to a neural net.
by Soriano, Maricor N.; 1995.
Subject: Neural networks (Computer science).
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Principal components obtained from a learning net as preprocessor to a neural net.
by Soriano, Maricor N.;
Subject: Neural networks (Computer science); Computer algorithms; Principal components analysis.
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Principal components obtained from a learning net as preprocessor to a neural net.
by Soriano, Maricor N.; Quezon City: University of the Philippines, 1995.
Subject: Physics; Neural net; Component analysis; Chromosomes -- Identification; Learning net; Biomedical pattern; Karyotyping.
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Improved classification of noisy microscopic images by a neural network with principal component projections as inputs.
by Soriano, Maricor N.; 1997.
Subject: Physics; Neural networks; Principal component analysis; Noise effects-microscopy; Noise simulation; Performance testing.
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Improved classification of noisy microscopic images by a neural network with principal component projections as inputs.
by Soriano, Maricor Narvaez; Quezon City, Philippines: University of the Philippines, 1997.
Subject: Physics; Image processing -- Digital techniques; Neural networks (Neurobiology); Nuclear reactors -- Noise; Principal components analysis.
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Improved classification of noisy microscopic images by a neural network with principal component projections as inputs.
by Soriano, Maricor Narvaez, 1970-;
Subject: Principal components analysis; Image processing -- Digital techniques; Neural networks (Neurobiology); Nuclear reactors -- Noise; Random noise theory.
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SVD vs PCA : comparison of performance in an imaging spectometer.
Subject: Spectrometer; Single-value decomposition(SVD); Principal Component Analysis(PCA).
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Effect of filter arrangement in the estimation accuracy of an imaging spectrometer.
Subject: Spectral imaging.
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Low-level color and texture feature extraction of coral reef components.
Subject: Coral reefs; Histogram backprojection.
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