Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories (English)
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In:
Computer Vision Image Understanding
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106
, 1
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59-70
;
2007
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ISSN:
- Article (Journal) / Print
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Title:Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
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Contributors:
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Published in:Computer Vision Image Understanding ; 106, 1 ; 59-70
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Publisher:
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Publication date:2007
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Size:12 Seiten, 18 Quellen
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ISSN:
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Coden:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
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Keywords:
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Source:
Table of contents – Volume 106, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Most Cited Paper Award| 2007
- 3
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Generative model based visionPece, Arthur E.C. / Larsen, Rasmus et al. | 2006
- 5
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Primal sketch: Integrating structure and textureGuo, Cheng-en / Zhu, Song-Chun / Wu, Ying Nian et al. | 2005
- 20
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Texture enhanced appearance modelsLarsen, Rasmus / Stegmann, Mikkel B. / Darkner, Sune / Forchhammer, Søren / Cootes, Timothy F. / Kjær Ersbøll, Bjarne et al. | 2005
- 31
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Nonlinear manifold learning for dynamic shape and dynamic appearanceElgammal, Ahmed / Lee, Chan-Su et al. | 2005
- 47
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Dynamic quantization for belief propagation in sparse spacesCoughlan, James / Shen, Huiying et al. | 2005
- 59
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Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categoriesFei-Fei, Li / Fergus, Rob / Perona, Pietro et al. | 2005
- 71
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Interpretation of complex scenes using dynamic tree-structure Bayesian networksTodorovic, Sinisa / Nechyba, Michael C. et al. | 2005
- 85
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Bayesian stereo matchingCheng, Li / Caelli, Terry et al. | 2005
- 97
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Large deformation diffeomorphisms with application to optic flowMarkussen, Bo et al. | 2005
- 106
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Optical flow based super-resolution: A probabilistic approachFransens, Rik / Strecha, Christoph / Van Gool, Luc et al. | 2005
- 116
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Smart particle filtering for high-dimensional trackingBray, M. / Koller-Meier, E. / Van Gool, L. et al. | 2005
- 130
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On the computational rationale for generative modelsPece, Arthur E.C. et al. | 2006
- IFC
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Editorial Board| 2007