{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T10:37:49Z","timestamp":1648895869061},"reference-count":0,"publisher":"Centro Latino Americano de Estudios en Informatica","issue":"3","license":[{"start":{"date-parts":[[2012,12,1]],"date-time":"2012-12-01T00:00:00Z","timestamp":1354320000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CLEIej"],"abstract":"<jats:p>&#x0D;\n&#x0D;\n&#x0D;\nThis article introduces a parallel neural network approach implemented over Graphic Processing Units (GPU) to solve a facial recognition problem, which consists in deciding where the face of a person in a certain image is pointing. The proposed method uses the parallel capabilities of GPU in order to train and evaluate a neural network used to solve the abovementioned problem.&#x0D;\nThe experimental evaluation demonstrates that a significant reduction on computing times can be obtained allowing solving large instances in reasonable time. Speedup greater than 8 is achieved when contrasted with a sequential implementation and classification rate superior to 85 % is also obtained.&#x0D;\n&#x0D;\n&#x0D;\n<\/jats:p>","DOI":"10.19153\/cleiej.15.3.6","type":"journal-article","created":{"date-parts":[[2018,12,8]],"date-time":"2018-12-08T08:23:35Z","timestamp":1544257415000},"source":"Crossref","is-referenced-by-count":2,"title":["Facial Recognition Using Neural Networks over GPGPU"],"prefix":"10.19153","volume":"15","author":[{"given":"Juan Pablo","family":"Balarini","sequence":"first","affiliation":[]},{"given":"Sergio","family":"Nesmachnow","sequence":"additional","affiliation":[]},{"given":"Mart\u00edn","family":"Rodr\u00edguez","sequence":"additional","affiliation":[]}],"member":"8231","published-online":{"date-parts":[[2012,12,1]]},"container-title":["CLEI Electronic Journal"],"original-title":[],"link":[{"URL":"http:\/\/192.168.10.19:8080\/cleiej\/index.php\/cleiej\/article\/download\/137\/246","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/192.168.10.19:8080\/cleiej\/index.php\/cleiej\/article\/download\/137\/246","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,5]],"date-time":"2020-08-05T23:15:17Z","timestamp":1596669317000},"score":1,"resource":{"primary":{"URL":"http:\/\/192.168.10.19:8080\/cleiej\/index.php\/cleiej\/article\/view\/137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,12,1]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2012,12,1]]}},"URL":"https:\/\/doi.org\/10.19153\/cleiej.15.3.6","relation":{},"ISSN":["0717-5000"],"issn-type":[{"value":"0717-5000","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,12,1]]}}}