The statistical analysis of compositional data
The statistical analysis of compositional data
Fundamentals of statistical exponential families: with applications in statistical decision theory
Fundamentals of statistical exponential families: with applications in statistical decision theory
International Journal of Computer Vision
Inductive learning of characteristic concept descriptions from small sets of classified examples
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Artificial neural networks in real-time car detection and tracking applications
Pattern Recognition Letters - Special issue on neural networks for computer vision applications
Interactive Model-Based Vehicle Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of New and Old Algorithms for a Mixture EstimationProblem
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Interpretation and Coding of Face Images Using Flexible Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based image retrieval using a composite color-shape approach
Information Processing and Management: an International Journal
Prior knowledge in support vector kernels
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
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
SMEM algorithm for mixture models
Proceedings of the 1998 conference on Advances in neural information processing systems II
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Improving Short-Text Classification using Unlabeled Data for Classification Problems
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
A survey of kernels for structured data
ACM SIGKDD Explorations Newsletter
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multiple kernel learning, conic duality, and the SMO algorithm
ICML '04 Proceedings of the twenty-first international conference on Machine learning
The Journal of Machine Learning Research
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonstationary kernel combination
ICML '06 Proceedings of the 23rd international conference on Machine learning
Multiclass Object Recognition with Sparse, Localized Features
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions
IEEE Transactions on Knowledge and Data Engineering
Hybrid Generative-Discriminative Visual Categorization
International Journal of Computer Vision
Discrete data clustering using finite mixture models
Pattern Recognition
Pattern Analysis & Applications
A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A discrete mixture-based kernel for SVMs: Application to spam and image categorization
Information Processing and Management: an International Journal
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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In the last few years hybrid generative discriminative approaches have received increasing attention and their capabilities have been demonstrated by several applications in different domains. Hybrid approaches allow the incorporation of prior knowledge about the nature of the data to classify. Past work on hybrid approaches has focused on Gaussian data, however, and less attention has been given to other kinds of non-Gaussian data which appear in many applications. In this article we introduce a class of generative kernels based on finite mixture models for non-Gaussian data classification. This particular class is based on the generalized Dirichlet distribution which have been shown to be effective to model this kind of data. We demonstrate the efficacy of the proposed framework on two challenging applications namely object detection and content-based image classification via the integration of color and spatial information.