Data encoding and classification
AssigneeSiemens Healthcare GmbH
InventorsMark Herbster, Peter Mountney, Sebastien Piat, Simone Severini
Life of this patent
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Abstract
In a method and apparatus for training a computer system for use in classification of an image by processing image data representing the image, image data are compressed and then loaded into a programmable quantum annealing device that includes a Restricted Boltzmann Machine. The Restricted Boltzmann Machine is trained to act as a classifier of image data, thereby providing a trained Restricted Boltzmann Machine; and, the trained Restricted Boltzmann Machine is used to initialize a neural network for image classification thereby providing a trained computer system for use in classification of an image.
Claims13
A method of training a computer system for use in classification of an image by processing image data representing the image, comprising the steps of:
- compressing the image data;
- loading the compressed image data onto a programmable quantum annealing device comprising a Restricted Boltzmann Machine;
- training the Restricted Boltzmann Machine to act as a classifier of image data, thereby providing a trained Restricted Boltzmann Machine;
- and,
- using the trained Restricted Boltzmann Machine to initialize a neural network for image classification thereby providing a trained computer system for use in classification of an image.
A computer system for classifying imaging data by processing image data representing the image, comprising:
- a programmable quantum annealing device comprising a Restricted Boltzmann Machine;
- a neural network for image classification;
- a processor configured to:
- compress the image data and to load the compressed image data onto said programmable quantum annealing device;
- train the Restricted Boltzmann Machine to act as a classifier of image data, thereby providing a trained Restricted Boltzmann Machine;
- and,
- use the trained Restricted Boltzmann Machine to initialize the neural network thereby training the computer system for use in classification of an image.
A non-transitory, computer-readable data storage medium encoded with programming instructions, said storage medium being loaded into a computer system and said programming instructions causing said computer system to classify an image by processing image data representing the image, with said programming instructions causing said computer system to:
- compress the image data;
- load the compressed image data onto a programmable quantum annealing device comprising a Restricted Boltzmann Machine;
- train the Restricted Boltzmann Machine to act as a classifier of image data, thereby providing a trained Restricted Boltzmann Machine;
- and,
- use the trained Restricted Boltzmann Machine to initialize a neural network for image classification thereby provide a trained computer system for use in classification of an image.
Dependencies are inferred from the claim text.