SIAM Review
MARK: a boosting algorithm for heterogeneous kernel models
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Convex Optimization
Learning the Kernel Matrix with Semidefinite Programming
The Journal of Machine Learning Research
Column-generation boosting methods for mixture of kernels
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A fast iterative algorithm for fisher discriminant using heterogeneous kernels
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Multiple kernel learning, conic duality, and the SMO algorithm
ICML '04 Proceedings of the twenty-first international conference on Machine learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A statistical framework for genomic data fusion
Bioinformatics
Optimizing the kernel in the empirical feature space
IEEE Transactions on Neural Networks
Discriminant kernel and regularization parameter learning via semidefinite programming
Proceedings of the 24th international conference on Machine learning
Multiclass multiple kernel learning
Proceedings of the 24th international conference on Machine learning
Nonlinear adaptive distance metric learning for clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-class Discriminant Kernel Learning via Convex Programming
The Journal of Machine Learning Research
Chernoff-Based Multi-class Pairwise Linear Dimensionality Reduction
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Semi-supervised Discriminant Analysis Via CCCP
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
A novel kernel-based maximum a posteriori classification method
Neural Networks
Learning sparse kernels from 3D surfaces for heart wall motion abnormality detection
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Hierarchical Multi-view Fisher Discriminant Analysis
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
EEG data classification through signal spatial redistribution and optimized linear discriminants
Computer Methods and Programs in Biomedicine
Semi-supervised clustering with metric learning: An adaptive kernel method
Pattern Recognition
Kernel-based manifold learning for statistical analysis of diffusion tensor images
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Representation of a fisher criterion function in a kernel feature space
IEEE Transactions on Neural Networks
Multiple Kernel learning using regularized Ho-Kashyap classifier in empirical Kernel mapping space
ICNC'09 Proceedings of the 5th international conference on Natural computation
Shape recognition based on Kernel-edit distance
Computer Vision and Image Understanding
Constructing nonlinear discriminants from multiple data views
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Optimized discriminative transformations for speech features based on minimum classification error
Pattern Recognition Letters
A new scheme to learn a kernel in regularization networks
Neurocomputing
Multiple Kernel Learning Algorithms
The Journal of Machine Learning Research
Robust data clustering by learning multi-metric Lq-norm distances
Expert Systems with Applications: An International Journal
Combining multiple kernels by augmenting the kernel matrix
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Non-sparse multiple kernel fisher discriminant analysis
The Journal of Machine Learning Research
Algorithms for learning kernels based on centered alignment
The Journal of Machine Learning Research
Multiple kernel learning with gaussianity measures
Neural Computation
Domain transfer dimensionality reduction via discriminant kernel learning
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Discriminant analysis in pairwise kernel learning for SVM classification
International Journal of Bioinformatics Research and Applications
Random projection ensemble learning with multiple empirical kernels
Knowledge-Based Systems
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In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance of KFDA depends on the choice of the kernel; in this paper, we consider the problem of finding the optimal kernel, over a given convex set of kernels. We show that this optimal kernel selection problem can be reformulated as a tractable convex optimization problem which interior-point methods can solve globally and efficiently. The kernel selection method is demonstrated with some UCI machine learning benchmark examples.