Invention Grant
- Patent Title: Image classification systems based on CNN based IC and light-weight classifier
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Application No.: US15963990Application Date: 2018-04-26
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Publication No.: US10402628B2Publication Date: 2019-09-03
- Inventor: Lin Yang , Patrick Z. Dong , Charles Jin Young , Jason Dong , Wenhan Zhang , Baohua Sun
- Applicant: GYRFALCON TECHNOLOGY INC.
- Applicant Address: US CA Milpitas
- Assignee: Gyrfalcon Technology Inc.
- Current Assignee: Gyrfalcon Technology Inc.
- Current Assignee Address: US CA Milpitas
- Agency: RC Patent Services
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/62 ; G06K9/66 ; G06N3/04 ; G06N3/08 ; G06N5/00

Abstract:
Image classification system contains a CNN based IC configured for extracting features out of input data by performing convolution operations using filter coefficients of ordered convolutional layers and a classifier IC configured for classifying the input data using reduced set of the extracted features based on a light-weight classifier. Light-weight classifier is derived by: training filter coefficients of the ordered convolutional layers using a dataset containing N labeled data, the trained filter coefficients are for the CNN based IC; outputting respective extracted features of the N labeled data after performing convolution operations of ordered convolutional layers using the trained filter coefficients, each labeled data contains X features; creating the reduced set of the extracted features by eliminating those of the X features that contain zeros in at least M of the N labeled data; and adjusting M until the light-weight classifier achieves satisfactory results using the reduced set.
Public/Granted literature
- US20180247113A1 Image Classification Systems Based On CNN Based IC and Light-Weight Classifier Public/Granted day:2018-08-30
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