Invention Grant
- Patent Title: Creating deep learning models using feature augmentation
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Application No.: US14992047Application Date: 2016-01-11
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Publication No.: US10373073B2Publication Date: 2019-08-06
- Inventor: Pavel Kisilev
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent G. E Ehrlich
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06K9/62 ; G06N3/08 ; G06N20/00 ; G10L15/06 ; G10L25/30

Abstract:
A computer implemented method of automatically creating a classification function trained with augmented representation of features extracted from a plurality of sample media objects using one or more hardware processors for executing a code. The code comprises code instructions for extracting a plurality of features from a plurality of sample media objects, generating a plurality of feature samples for each of the plurality of features by augmenting the plurality of features, training a classification function with the plurality of features samples and outputting the classification function for classifying one or more new media objects.
Public/Granted literature
- US20170200092A1 CREATING DEEP LEARNING MODELS USING FEATURE AUGMENTATION Public/Granted day:2017-07-13
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