Data processing: artificial intelligence – Neural network – Learning method
Reexamination Certificate
2011-06-07
2011-06-07
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning method
Reexamination Certificate
active
07958070
ABSTRACT:
A plurality of pieces of learning data, each associated with a class to which the piece of the learning data belong, are input. In each piece of the learning data, a statistical amount of attribute values of elements in each of specific k parts, k being equal to or larger than 1, is calculated. Each piece of the learning data is mapped in a k-dimensional feature space as a vector having the calculated k statistics amounts as elements. Based on each piece of the mapped learning data and the classes to which the pieces of learning data belong, parameters for classifying input data into one of the plurality of classes are learned in the k-dimensional feature space. By using the parameters, pattern classification can be performed with high speed and high accuracy.
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Matsugu Masakazu
Mitarai Yusuke
Mori Katsuhiko
Sato Hiroshi
Torii Kan
Canon Kabushiki Kaisha
Canon USA Inc. IP Div
Vincent David R
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