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231224s2015 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2014.2372618
|2 doi
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|a eng
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| 100 |
1 |
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|a Leng, Biao
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a 3D object retrieval with multitopic model combining relevance feedback and LDA model
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| 264 |
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|c 2015
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 30.03.2015
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| 500 |
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|a Date Revised 20.02.2015
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a View-based 3D model retrieval uses a set of views to represent each object. Discovering the complex relationship between multiple views remains challenging in 3D object retrieval. Recent progress in the latent Dirichlet allocation (LDA) model leads us to propose its use for 3D object retrieval. This LDA approach explores the hidden relationships between extracted primordial features of these views. Since LDA is limited to a fixed number of topics, we further propose a multitopic model to improve retrieval performance. We take advantage of a relevance feedback mechanism to balance the contributions of multiple topic models with specified numbers of topics. We demonstrate our improved retrieval performance over the state-of-the-art approaches
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| 650 |
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Zeng, Jiabei
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yao, Ming
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Xiong, Zhang
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 24(2015), 1 vom: 23. Jan., Seite 94-105
|w (DE-627)NLM09821456X
|x 1941-0042
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|g volume:24
|g year:2015
|g number:1
|g day:23
|g month:01
|g pages:94-105
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|u http://dx.doi.org/10.1109/TIP.2014.2372618
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