专利名称:Image classification systems based on CNN
based IC and light-weight classifier
发明人:Lin Yang,Patrick Z. Dong,Charles Jin
Young,Jason Dong,Wenhan Zhang,BaohuaSun
申请号:US15963990申请日:20180426公开号:US10402628B2公开日:20190903
专利附图:
摘要:Image classification system contains a CNN based IC configured for extracting
features out of input data by performing convolution operations using filter coefficientsof ordered convolutional layers and a classifier IC configured for classifying the inputdata 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 convolutionallayers using a dataset containing N labeled data, the trained filter coefficients are for theCNN based IC; outputting respective extracted features of the N labeled data afterperforming convolution operations of ordered convolutional layers using the trainedfilter coefficients, each labeled data contains X features; creating the reduced set of theextracted features by eliminating those of the X features that contain zeros in at least Mof the N labeled data; and adjusting M until the light-weight classifier achievessatisfactory results using the reduced set.
申请人:GYRFALCON TECHNOLOGY INC.
地址:Milpitas CA US
国籍:US
代理机构:RC Patent Services
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