Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Learning and Updating of Uncertainty in Dirichlet Models
Machine Learning
Clustering methods for large databases: from the past to the future
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Variational learning in nonlinear Gaussian belief networks
Neural Computation
An introduction to variational methods for graphical models
Learning in graphical models
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
Hierarchical Discriminant Regression
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Principal Direction Divisive Partitioning
Data Mining and Knowledge Discovery
Choosing initial values for the EM algorithm for finite mixtures
Computational Statistics & Data Analysis
An Affine Invariant Interest Point Detector
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Learning a Sparse Representation for Object Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Feature-Based Face Recognition Using Mixture-Distance
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A Probabilistic RBF Network for Classification
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 - Volume 4
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Convex Optimization
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Pictorial Structures for Object Recognition
International Journal of Computer Vision
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Contour-Based Learning for Object Detection
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Physics-motivated features for distinguishing photographic images and computer graphics
Proceedings of the 13th annual ACM international conference on Multimedia
Comparing clusterings: an axiomatic view
ICML '05 Proceedings of the 22nd international conference on Machine learning
Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
Resampling Method for Unsupervised Estimation of Cluster Validity
Neural Computation
Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach
IEEE Transactions on Knowledge and Data Engineering
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
International Journal of Computer Vision
Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
Pattern Analysis & Applications
The Journal of Machine Learning Research
A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maximum margin clustering made practical
IEEE Transactions on Neural Networks
Model-based subspace clustering of non-Gaussian data
Neurocomputing
Simplifying mixture models through function approximation
IEEE Transactions on Neural Networks
Bayesian Estimation of Beta Mixture Models with Variational Inference
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inferring parameters and structure of latent variable models by variational bayes
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Techniques for still image scene classification and object detection
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Located hidden random fields: learning discriminative parts for object detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A variational statistical framework for object detection
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
How realistic is photorealistic?
IEEE Transactions on Signal Processing
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting
IEEE Transactions on Neural Networks
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Finite Dirichlet mixture models have proved to be an effective knowledge representation and inference engine in several machine learning and data mining applications. In this paper, we address the task of learning and selecting finite Dirichlet mixture models in an incremental variational way. A learning algorithm based on component splitting and local model selection is proposed. The merits of the proposed approach are illustrated using synthetic data as well as real challenging applications involving object detection, text documents clustering and distinguishing photographic images from computer graphics.