Celebratio Mathematica

Ingrid Daubechies

Complete Bibliography

Works connected to Güngör Polatkan

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S. Ja­farp­our, G. Po­latkan, E. Brevdo, S. Hughes, A. Bra­sov­eanu, and I. Daubech­ies: “Styl­ist­ic ana­lys­is of paint­ings us­ing wave­lets and ma­chine learn­ing,” pp. 1220–​1224 in 17th European sig­nal pro­cessing con­fer­ence (EU­SIPCO 2009) (Glas­gow, Scot­land, 24–28 Au­gust 2009). IEEE (Pis­cat­away, NJ), 2009. incollection

G. Po­latkan, S. Ja­farp­our, A. Bra­sov­eanu, S. Hughes, and I. Daubech­ies: “De­tec­tion of for­gery in paint­ings us­ing su­per­vised learn­ing,” pp. 2921–​2924 in 2009 IEEE in­ter­na­tion­al con­fer­ence on im­age pro­cessing (Cairo, 7–12 Novem­ber 2009). Pro­ceed­ings, In­ter­na­tion­al Con­fer­ence on Im­age Pro­cessing. IEEE (Pis­cat­away, NJ), 2009. incollection

T. Wu, G. Po­latkan, D. Steel, W. Brown, I. Daubech­ies, and R. Calderb­ank: “Paint­ing ana­lys­is us­ing wave­lets and prob­ab­il­ist­ic top­ic mod­els,” pp. 3264–​3268 in 2013 IEEE in­ter­na­tion­al con­fer­ence on im­age pro­cessing (Mel­bourne, 15–18 Septem­ber 2013). IEEE (Pis­cat­away, NJ), 2013. ArXiv 1401.​6638 incollection

G. Po­latkan, M. Zhou, L. Carin, D. Blei, and I. Daubech­ies: “A Bayesian non­para­met­ric ap­proach to im­age su­per-res­ol­u­tion,” IEEE T. Pat­tern Anal. 37 : 2 (February 2015), pp. 346–​358. ArXiv 1209.​5019 article