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The aim is to explore if the idea of deep learning could benefit mathematical recognition method, which might extend the scope of face recognition research. Results from the experiments show that the new proposed approach achieves markedly better recognition rates than the original macropixel methods.<\/p>","DOI":"10.4018\/ijssci.2019100101","type":"journal-article","created":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T14:05:20Z","timestamp":1579269920000},"page":"1-16","source":"Crossref","is-referenced-by-count":8,"title":["Convolutional Approach Also Benefits Traditional Face Pattern Recognition Algorithm [208!]"],"prefix":"10.4018","volume":"11","author":[{"given":"Yunke","family":"Li","sequence":"first","affiliation":[{"name":"University of Northern British Columbia, Prince George, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyuan","family":"Shi","sequence":"additional","affiliation":[{"name":"University of Northern British Columbia, Prince George, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Northern British Columbia, Prince George, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Northern British Columbia, Prince George, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJSSCI.2019100101-0","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"IJSSCI.2019100101-1","unstructured":"Boureau, Y.-L., Ponce, J., & LeCun, Y. 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