Unsupervised learning of visual taxonomies
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Pietro Perona | Max Welling | Evgeniy Bart | Ian Porteous | P. Perona | M. Welling | I. Porteous | E. Bart
[1] S. MacEachern,et al. Bayesian Density Estimation and Inference Using Mixtures , 2007 .
[2] Alexei A. Efros,et al. Discovering object categories in image collections , 2005 .
[3] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[4] Gang Wang,et al. Using Dependent Regions for Object Categorization in a Generative Framework , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[5] Radford M. Neal,et al. A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model , 2004 .
[6] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[7] Donald Geman,et al. A Design Principle for Coarse-to-Fine Classification , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[8] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[9] G. Griffin,et al. Caltech-256 Object Category Dataset , 2007 .
[10] Narendra Ahuja,et al. Learning the Taxonomy and Models of Categories Present in Arbitrary Images , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[11] M. Escobar,et al. Bayesian Density Estimation and Inference Using Mixtures , 1995 .
[12] Trevor Darrell,et al. The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[13] Antonio Torralba,et al. Shared Features for Multiclass Object Detection , 2006, Toward Category-Level Object Recognition.
[14] Alexei A. Efros,et al. Unsupervised discovery of visual object class hierarchies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[16] E. Meeds,et al. Nonparametric Bayesian Methods for Extracting Structure from Data , 2008 .
[17] Thomas L. Griffiths,et al. Hierarchical Topic Models and the Nested Chinese Restaurant Process , 2003, NIPS.