Overlapped latent Dirichlet allocation for efficient image segmentation

Verfasser / Beitragende:
[Young-Seob Jeong, Ho-Jin Choi]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/4(2015-04-01), 829-838
Format:
Artikel (online)
ID: 605469865
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024 7 0 |a 10.1007/s00500-014-1410-x  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1410-x 
245 0 0 |a Overlapped latent Dirichlet allocation for efficient image segmentation  |h [Elektronische Daten]  |c [Young-Seob Jeong, Ho-Jin Choi] 
520 3 |a Unsupervised methods for image segmentation have recently drawn significant attention because most images do not have labels or tags. A topic model is an unsupervised probabilistic method that captures the latent aspects of data, where each latent aspect or topic is associated with one homogeneous region. In this paper, we propose a new topic model for image segmentation task that incorporates spatial information into its structure based on the hypothesis that overlapped topic proportions convey spatial information. The model is efficient in time and memory, and we demonstrate this through comparison with other models using the MSRC image dataset. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Probabilistic topic model  |2 nationallicence 
690 7 |a Image segmentation  |2 nationallicence 
690 7 |a Spatial information  |2 nationallicence 
700 1 |a Jeong  |D Young-Seob  |u Department of Computer Science, KAIST, 291 Daehak-ro, Yuseong-gu, 305-701, Daejeon, South Korea  |4 aut 
700 1 |a Choi  |D Ho-Jin  |u Department of Computer Science, KAIST, 291 Daehak-ro, Yuseong-gu, 305-701, Daejeon, South Korea  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/4(2015-04-01), 829-838  |x 1432-7643  |q 19:4<829  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1410-x  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1410-x  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Jeong  |D Young-Seob  |u Department of Computer Science, KAIST, 291 Daehak-ro, Yuseong-gu, 305-701, Daejeon, South Korea  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Choi  |D Ho-Jin  |u Department of Computer Science, KAIST, 291 Daehak-ro, Yuseong-gu, 305-701, Daejeon, South Korea  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/4(2015-04-01), 829-838  |x 1432-7643  |q 19:4<829  |1 2015  |2 19  |o 500