Dynamic context-selective convolutional neural network for time series data classification

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United States of America Patent

PATENT NO 10810485
APP PUB NO 20180075336A1
SERIAL NO

15263581

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A convolutional neural network for classifying time series data uses a dynamic context selection. In one example a method includes receiving a plurality of inputs of different sizes at a convolutional neural network, applying convolution and pooling to each of the inputs to provide a plurality of outputs of different sizes, changing the size of each of the outputs to a selected uniform size, reshaping each of the outputs to a vector, and fully connecting the vectors.

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  • INTEL CORP.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Yen-Kuang Palo Alto, US 162 2163
Florez, Omar U Sunnyvale, US 5 87
Huang, Freddie H Chiayi, TW 1 6
Huang, Jonathan J Pleasanton, US 20 386

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