Sum and Difference Histograms for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Classification by minimum-message-length inference
ICCI'90 Proceedings of the international conference on Advances in computing and information
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Bayesian Approaches to Gaussian Mixture Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Dirichlet distribution in Bayesian analysis
Applied Mathematics and Computation
On finding the number of clusters
Pattern Recognition Letters
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inference in model-based cluster analysis
Statistics and Computing
Finding overlapping components with MML
Statistics and Computing
Model selection for probabilistic clustering using cross-validatedlikelihood
Statistics and Computing
MML clustering of multi-state, Poisson, vonMises circular and Gaussian distributions
Statistics and Computing
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Single Factor Analysis in MML Mixture Modelling
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
The Journal of Machine Learning Research
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)
Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
The minimum description length principle in coding and modeling
IEEE Transactions on Information Theory
Image classification for content-based indexing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Discrete data clustering using finite mixture models
Pattern Recognition
A Graphical Model for Content Based Image Suggestion and Feature Selection
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Statistical Model for Histogram Refinement
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
International Journal of Remote Sensing
A Statistical Approach for Binary Vectors Modeling and Clustering
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
On multivariate binary data clustering and feature weighting
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Model-based subspace clustering of non-Gaussian data
Neurocomputing
A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling
IEEE Transactions on Neural Networks
Discrete visual features modeling via leave-one-out likelihood estimation and applications
Journal of Visual Communication and Image Representation
Simultaneous non-gaussian data clustering, feature selection and outliers rejection
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Infinite Liouville mixture models with application to text and texture categorization
Pattern Recognition Letters
A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Unsupervised feature and model selection for generalized Dirichlet mixture models
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Journal of Visual Communication and Image Representation
Deriving kernels from generalized Dirichlet mixture models and applications
Information Processing and Management: an International Journal
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Minimum message length inference and mixture modelling of inverse gaussian distributions
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication
Learning finite Beta-Liouville mixture models via variational bayes for proportional data clustering
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference
Journal of Signal Processing Systems
Hi-index | 0.16 |
We consider the problem of determining the structure of high-dimensional data, without prior knowledge of the number of clusters. Data are represented by a finite mixture model based on the generalized Dirichlet distribution. The generalized Dirichlet distribution has a more general covariance structure than the Dirichlet distribution and offers high flexibility and ease of use for the approximation of both symmetric and asymmetric distributions. This makes the generalized Dirichlet distribution more practical and useful. An important problem in mixture modeling is the determination of the number of clusters. Indeed, a mixture with too many or too few components may not be appropriate to approximate the true model. Here, we consider the application of the minimum message length (MML) principle to determine the number of clusters. The MML is derived so as to choose the number of clusters in the mixture model which best describes the data. A comparison with other selection criteria is performed. The validation involves synthetic data, real data clustering, and two interesting real applications: classification of web pages, and texture database summarization for efficient retrieval.