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This paper presents a novel architecture of neural networks designed for pattern recognition.
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The training data and test data for pattern recognition were designed such that they would not repeat.
Automatic systems for pattern recognition may be designed on a structural description derived from sensor observations.
Parallelizing Connectionist Networks for Pattern Recognition: A Library Approach.
A distance quasi-metric for pattern recognition is presented.
Neural networks can also be used for pattern recognition.
Novel experiences stimulate your brain to generate the new knowledge needed for pattern recognition.
The machine learning branch of Artificial Intelligence holds great promise for pattern recognition and data correlation.
His previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.
Feature extraction is an important module for pattern recognition.
The dissimilarity representation for designing pattern recognition systems is analyzed for its ability to build new knowledge from examples using an anti-essentialist approach.
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