Stylistic analysis of paintings using wavelets and machine learning
Publication
, Journal Article
Jafarpour, S; Polatkan, G; Brevdo, E; Hughes, S; Brasoveanu, A; Daubechies, I
Published in: European Signal Processing Conference
December 1, 2009
Wavelet transforms and machine learning tools can be used to assist art experts in the stylistic analysis of paintings. A dual-tree complex wavelet transform, Hidden Markov Tree modeling and Random Forest classifiers are used here for a stylistic analysis of Vincent van Gogh's paintings with results on two stylometry challenges that concern "dating, resp. extracting distinguishing features". © EURASIP, 2009.
Duke Scholars
Published In
European Signal Processing Conference
ISSN
2219-5491
Publication Date
December 1, 2009
Start / End Page
1220 / 1224
Citation
APA
Chicago
ICMJE
MLA
NLM
Jafarpour, S., Polatkan, G., Brevdo, E., Hughes, S., Brasoveanu, A., & Daubechies, I. (2009). Stylistic analysis of paintings using wavelets and machine learning. European Signal Processing Conference, 1220–1224.
Jafarpour, S., G. Polatkan, E. Brevdo, S. Hughes, A. Brasoveanu, and I. Daubechies. “Stylistic analysis of paintings using wavelets and machine learning.” European Signal Processing Conference, December 1, 2009, 1220–24.
Jafarpour S, Polatkan G, Brevdo E, Hughes S, Brasoveanu A, Daubechies I. Stylistic analysis of paintings using wavelets and machine learning. European Signal Processing Conference. 2009 Dec 1;1220–4.
Jafarpour, S., et al. “Stylistic analysis of paintings using wavelets and machine learning.” European Signal Processing Conference, Dec. 2009, pp. 1220–24.
Jafarpour S, Polatkan G, Brevdo E, Hughes S, Brasoveanu A, Daubechies I. Stylistic analysis of paintings using wavelets and machine learning. European Signal Processing Conference. 2009 Dec 1;1220–1224.
Published In
European Signal Processing Conference
ISSN
2219-5491
Publication Date
December 1, 2009
Start / End Page
1220 / 1224