A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification, Lecture Notes in Computer Science, vol.7664, issue.2, pp.332-340, 2012. ,
DOI : 10.1007/978-3-642-34481-7_41
Latent Dirichlet allocation, Journal of Machine Learning Research, vol.3, pp.993-1022, 2003. ,
Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions, IEEE Transactions on Knowledge and Data Engineering, vol.20, issue.4, pp.462-474, 2008. ,
DOI : 10.1109/TKDE.2007.190726
High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.10, pp.1716-1731, 2007. ,
DOI : 10.1109/TPAMI.2007.1095
Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization, Journal of Visual Communication and Image Representation, vol.18, issue.4, pp.295-309, 2007. ,
DOI : 10.1016/j.jvcir.2007.02.005
A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity, IEEE Transactions on Knowledge and Data Engineering, vol.21, issue.12, pp.1649-1664, 2009. ,
DOI : 10.1109/TKDE.2009.42
Count Data Modeling and Classification Using Finite Mixtures of Distributions, IEEE Transactions on Neural Networks, vol.22, issue.2, pp.186-198, 2011. ,
DOI : 10.1109/TNN.2010.2091428
A generative model for spatial color image databases categorization, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.821-824, 2008. ,
DOI : 10.1109/ICASSP.2008.4517736
Visual categorization with bags of keypoints, Workshop on Statistical Learning in Computer Vision, 8th European Conference on Computer Vision (ECCV), pp.1-12, 2004. ,
Online learning for latent dirichlet allocation, pp.856-864, 2010. ,
An Introduction to Variational Methods for Graphical Models, Machine Learning, vol.37, issue.2, pp.183-233, 1999. ,
DOI : 10.1007/978-94-011-5014-9_5
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
Modeling word burstiness using the Dirichlet distribution, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.545-552, 2005. ,
DOI : 10.1145/1102351.1102420
Text classification from labeled and unlabeled documents using EM, Machine Learning, vol.39, issue.2/3, pp.103-134, 2000. ,
DOI : 10.1023/A:1007692713085
Modeling the shape of the scene: A holistic representation of the spatial envelope, International Journal of Computer Vision, vol.42, issue.3, pp.145-175, 2001. ,
DOI : 10.1023/A:1011139631724
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383371
Large scale image annotation: learning??to??rank with??joint word-image embeddings, Machine Learning, vol.5, issue.1, pp.21-35, 2010. ,
DOI : 10.1007/s10994-010-5198-3