{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:24:19Z","timestamp":1753601059131},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>This work focuses on the design and validation of a CBR system for efficient face recognition under partial occlusion conditions. The proposed CBR system is based on a classical distance-based classification method, modified to increase its robustness to partial occlusion. This is achieved by using a novel dissimilarity function which discards features coming from occluded facial regions. In addition, we explore the integration of an efficient dimensionality reduction method into the proposed framework to reduce computational cost. We present experimental results showing that the proposed CBR system outperforms classical methods of similar computational requirements in the task of face recognition under partial occlusion.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/746","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:10Z","timestamp":1530755350000},"page":"5324-5328","source":"Crossref","is-referenced-by-count":2,"title":["Inhibition of Occluded Facial Regions for Distance-Based Face Recognition"],"prefix":"10.24963","author":[{"given":"Daniel","family":"L\u00f3pez S\u00e1nchez","sequence":"first","affiliation":[{"name":"University of Salamanca, BISITE Research Group"}]},{"given":"Juan M.","family":"Corchado","sequence":"additional","affiliation":[{"name":"University of Salamanca, BISITE Research Group"},{"name":"Osaka Institute of Technology"}]},{"given":"Angelica","family":"Gonz\u00e1lez Arrieta","sequence":"additional","affiliation":[{"name":"University of Salamanca, BISITE Research Group"}]}],"member":"10584","event":{"number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2018","name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","start":{"date-parts":[[2018,7,13]]},"theme":"Artificial Intelligence","location":"Stockholm, Sweden","end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:55:42Z","timestamp":1530755742000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/746"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/746","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}