Sum and Difference Histograms for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Handbook of pattern recognition & computer vision
Machine Learning
Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Comparing images using joint histograms
Multimedia Systems - Special issue on video content based retrieval
Spatial Color Indexing and Applications
International Journal of Computer Vision
Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
Concept decompositions for large sparse text data using clustering
Machine Learning
Theory of keyblock-based image retrieval
ACM Transactions on Information Systems (TOIS)
Machine Learning
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Experiments in colour texture analysis
Pattern Recognition Letters
BAYES AND EMPIRICAL BAYES METHODS FOR DATA ANALYSIS
Statistics and Computing
On the Estimation of 'Small' Probabilities by Leaving-One-Out
IEEE Transactions on Pattern Analysis and Machine Intelligence
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generative/Discriminative Learning Algorithm for Image Classification
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Modeling word burstiness using the Dirichlet distribution
ICML '05 Proceedings of the 22nd international conference on Machine learning
On smoothing techniques for bigram-based natural language modelling
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Journal of Visual Communication and Image Representation
A Classifier Design Technique for Discrete Variable Pattern Recognition Problems
IEEE Transactions on Computers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions
IEEE Transactions on Knowledge and Data Engineering
Discrete data clustering using finite mixture models
Pattern Recognition
Novel mixtures based on the dirichlet distribution: application to data and image classification
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
A Maximum Likelihood Approach to Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Information Theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image classification for content-based indexing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Learning a ground object manifold for interpreting high-resolution sensor image
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
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Discrete data are an important component in many image processing and computer vision applications. In this work we propose an unsupervised statistical approach to learn structures of this kind of data. The central ingredient in our model is the introduction of the generalized Dirichlet distribution as a prior to the multinomial. An estimation algorithm, based on leave-one-out likelihood and empirical Bayesian inference, for the parameters is developed. This estimation algorithm can be viewed as a hybrid expectation-maximization (EM) which alternates EM iterations with Newton-Raphson iterations using the Hessian matrix. We propose then the use of our model as a parametric basis for support vector machines within a hybrid generative/discriminative framework. In a series of experiments involving scene modeling and classification using visual words, and color texture modeling we show the efficiency of the proposed approach.