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Yaser S. Abu-Mostafa
Researcher at California Institute of Technology
Publications - 60
Citations - 3545
Yaser S. Abu-Mostafa is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Artificial neural network & Overfitting. The author has an hindex of 26, co-authored 60 publications receiving 3349 citations.
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Recognitive Aspects of Moment Invariants
TL;DR: Moment invariants are evaluated as a feature space for pattern recognition in terms of discrimination power and noise tolerance and properties of complex moments are used to characterize moment invariants.
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Introduction to financial forecasting
TL;DR: Using neural networks as a learning paradigm, different techniques for choosing the inputs, outputs, and error function are described and the learning from hints technique that augments the standard learning from examples method is described.
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Information capacity of the Hopfield model
TL;DR: The information capacity of general forms of memory is formalized and the number of bits of information that can be stored in the Hopfield model of associative memory is estimated.
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Optical neural computers
TL;DR: This poster presents a probabilistic procedure to characterize the response of the immune system to repeated exposure to EPFL’s Tournaisian–Seiden–Bouchut–Boyaval virus.
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Image Normalization by Complex Moments
TL;DR: The role of moments in image normalization and invariant pattern recognition is addressed, and the relationship between moment-based normalization, moment invariants, and circular harmonics is established.