Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Choosing Multiple Parameters for Support Vector Machines
Machine Learning
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
Multiple kernel learning, conic duality, and the SMO algorithm
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning the Kernel with Hyperkernels
The Journal of Machine Learning Research
Boosting Sex Identification Performance
International Journal of Computer Vision
Large Scale Multiple Kernel Learning
The Journal of Machine Learning Research
Scalable training of L1-regularized log-linear models
Proceedings of the 24th international conference on Machine learning
Direct convex relaxations of sparse SVM
Proceedings of the 24th international conference on Machine learning
Supervised feature selection via dependence estimation
Proceedings of the 24th international conference on Machine learning
Multiclass multiple kernel learning
Proceedings of the 24th international conference on Machine learning
Learning convex combinations of continuously parameterized basic kernels
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Graph classification based on optimizing graph spectra
DS'10 Proceedings of the 13th international conference on Discovery science
Augmenting capsule endoscopy diagnosis: a similarity learning approach
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Learning with uncertain kernel matrix set
Journal of Computer Science and Technology
Multiple kernel learning improved by MMD
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
lp-Norm Multiple Kernel Learning
The Journal of Machine Learning Research
A Family of Simple Non-Parametric Kernel Learning Algorithms
The Journal of Machine Learning Research
Learning a Robust Relevance Model for Search Using Kernel Methods
The Journal of Machine Learning Research
Multiple Kernel Learning Algorithms
The Journal of Machine Learning Research
Fast neighborhood component analysis
Neurocomputing
Multitask learning using regularized multiple kernel learning
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Multi kernel learning with online-batch optimization
The Journal of Machine Learning Research
Algorithms for learning kernels based on centered alignment
The Journal of Machine Learning Research
Modulating Shape Features by Color Attention for Object Recognition
International Journal of Computer Vision
SPF-GMKL: generalized multiple kernel learning with a million kernels
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Greedy unsupervised multiple kernel learning
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Multi-view action recognition using local similarity random forests and sensor fusion
Pattern Recognition Letters
Biologically inspired task oriented gist model for scene classification
Computer Vision and Image Understanding
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Surgical gesture classification from video data
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Accelerated max-margin multiple kernel learning
Applied Intelligence
Online multi-modal distance learning for scalable multimedia retrieval
Proceedings of the sixth ACM international conference on Web search and data mining
Unsupervised non-parametric kernel learning algorithm
Knowledge-Based Systems
Model selection based product kernel learning for regression on graphs
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Neurocomputing
Segmental multi-way local pooling for video recognition
Proceedings of the 21st ACM international conference on Multimedia
Multiple kernel learning for emotion recognition in the wild
Proceedings of the 15th ACM on International conference on multimodal interaction
Fuzzy rough based regularization in Generalized Multiple Kernel Learning
Computers & Mathematics with Applications
Proceedings of the 7th ACM international conference on Web search and data mining
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
Guaranteed classification via regularized similarity learning
Neural Computation
Human interaction categorization by using audio-visual cues
Machine Vision and Applications
Boosted kernel for image categorization
Multimedia Tools and Applications
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Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient descent based optimization schemes has made it possible to tackle large scale problems. Simultaneously, MKL based algorithms have achieved very good results on challenging real world applications. Yet, despite their successes, MKL approaches are limited in that they focus on learning a linear combination of given base kernels. In this paper, we observe that existing MKL formulations can be extended to learn general kernel combinations subject to general regularization. This can be achieved while retaining all the efficiency of existing large scale optimization algorithms. To highlight the advantages of generalized kernel learning, we tackle feature selection problems on benchmark vision and UCI databases. It is demonstrated that the proposed formulation can lead to better results not only as compared to traditional MKL but also as compared to state-of-the-art wrapper and filter methods for feature selection.