HIGHLIGHTS
- who: Wibowo et al. from the Department of Computer Science and Electronics, Universitas Gadjah Mada FMIPA Sekip Utara, Bulaksumur, Sleman, Yogyakarta, Ph: +62274546194, Indonesia Science and Engineering Faculty, Queensland University of Technology, George St, Brisbane CBD have published the article: Improved face recognition across poses using fusion of probabilistic latent variable models Author, in the Journal: (JOURNAL) of August/10,/2017
- what: This work investigates this issue by comparing performance of three probabilistic latent variable models namely PLDA TFA and TPLDA as well as the fusion of these classifiers on collections of video data. Inspired . . .
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