Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models

Authors:
Tarek Elguebaly;Nizar Bouguila
Affiliations:
Electrical and Computer Engineering Department, Faculty of Engineering and Computer Science, Concordia University, Montreal, Qc, Canada H3G 2W1;Concordia Institute for Information Systems Engineering, Faculty of Engineering and Computer Science, Concordia University, Montreal, Qc, Canada H3G 2W1
Venue:
Signal Processing
Year:
2013

Citing 49
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
An experimental and theoretical comparison of model selection methods

COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Using Discriminant Eigenfeatures for Image Retrieval

IEEE Transactions on Pattern Analysis and Machine Intelligence
A PAC analysis of a Bayesian estimator

COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Probabilistic latent semantic indexing

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A Trainable System for Object Detection

International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
PAC-Bayesian Stochastic Model Selection

Machine Learning
Pedestrian Detection from a Moving Vehicle

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Automated Scene Matching in Movies

CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Unsupervised Learning of Human Motion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Latent dirichlet allocation

The Journal of Machine Learning Research
Recognizing Action at a Distance

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Robust Real-Time Face Detection

International Journal of Computer Vision
Learning to track 3D human motion from silhouettes

ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm

Statistics and Computing
Simultaneous Feature Selection and Clustering Using Mixture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Human Actions: A Local SVM Approach

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Eigenregions for Image Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)

Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)
Recent advances in visual and infrared face recognition: a review

Computer Vision and Image Understanding
Image Parsing: Unifying Segmentation, Detection, and Recognition

International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Hybrid Models for Human Motion Recognition

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Performance Evaluation of Local Descriptors

IEEE Transactions on Pattern Analysis and Machine Intelligence
On Space-Time Interest Points

International Journal of Computer Vision
Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Efficient Visual Event Detection Using Volumetric Features

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Actions as Space-Time Shapes

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Estimating the Support of a High-Dimensional Distribution

Neural Computation
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications

Statistics and Computing
Unsupervised Discovery of Action Classes

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An Experimental Study on Pedestrian Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Penalized Model-Based Clustering with Application to Variable Selection

The Journal of Machine Learning Research
Behavior recognition via sparse spatio-temporal features

ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
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
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

International Journal of Computer Vision
Haar Wavelets and Edge Orientation Histograms for On---Board Pedestrian Detection

IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Pedestrian Detection via Classification on Riemannian Manifolds

IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Gaussian mixture models with entropy-based criteria

IEEE Transactions on Neural Networks
Scalable discriminant feature selection for image retrieval and recognition

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Bayesian learning of finite generalized Gaussian mixture models on images

Signal Processing
Monte Carlo Statistical Methods

Monte Carlo Statistical Methods
A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering

Expert Systems with Applications: An International Journal
Slow Feature Analysis for Human Action Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Monte Carlo extrinsic estimators of manifold-valued parameters

IEEE Transactions on Signal Processing
Spatiotemporal salient points for visual recognition of human actions

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture

IEEE Transactions on Image Processing
Artificial neural networks for feature extraction and multivariate data projection

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.08

Visualization

Abstract

Selecting relevant features in multidimensional data is important in several pattern analysis and image processing applications. The goal of this paper is to propose a Bayesian approach for identifying clusters of proportional data based on the selection of relevant features. More specifically, we consider the problem of selecting relevant features in unsupervised settings when generalized Dirichlet mixture models are considered to model and cluster proportional data. The learning of the proposed statistical model, to formulate the unsupervised feature selection problem, is carried out using a powerful reversible jump Markov chain Monte Carlo (RJMCMC) technique. Experiments involving the challenging problems of human action videos categorization, pedestrian detection and face recognition indicate that the proposed approach is efficient.