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In this paper, the authors test several popular face\/gait-based gender recognition algorithms in a cross-dataset manner. The recognition rates decrease significantly and some of them are only slightly better than random guess. These observations suggest that the generalization power of conventional algorithms is less satisfied, and highlight the need for further research on face\/gait-based gender recognition for real-world applications.<\/p>","DOI":"10.4018\/ijdcf.2014010101","type":"journal-article","created":{"date-parts":[[2014,7,10]],"date-time":"2014-07-10T12:11:45Z","timestamp":1404994305000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["On the Generalization Power of Face and Gait in Gender Recognition"],"prefix":"10.4018","volume":"6","author":[{"given":"Yu","family":"Guan","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Warwick, Warwick, Coventry, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingjie","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Warwick, Warwick, Coventry, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang-Tsun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Warwick, Warwick, Coventry, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijdcf.2014010101-0","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-8910-9"},{"key":"ijdcf.2014010101-1","doi-asserted-by":"crossref","unstructured":"Chang, C.-C., & Lin, C.-J. 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