Discriminant analysis in correlation similarity measure space
Proceedings of the 24th international conference on Machine learning
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
A volume-based heat-diffusion classifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Semi-supervised metric learning using pairwise constraints
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Semi-supervised clustering with metric learning: An adaptive kernel method
Pattern Recognition
Kernel-based metric learning for semi-supervised clustering
Neurocomputing
Transfer metric learning by learning task relationships
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Distance metric learning guided adaptive subspace semi-supervised clustering
Frontiers of Computer Science in China
Learning low-rank kernel matrices for constrained clustering
Neurocomputing
Improving constrained clustering with active query selection
Pattern Recognition
Learning from pairwise constraints by Similarity Neural Networks
Neural Networks
Fast neighborhood component analysis
Neurocomputing
Transfer Metric Learning with Semi-Supervised Extension
ACM Transactions on Intelligent Systems and Technology (TIST)
Distance metric learning under covariate shift
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Fuzzy semi-supervised co-clustering for text documents
Fuzzy Sets and Systems
Online multi-modal distance learning for scalable multimedia retrieval
Proceedings of the sixth ACM international conference on Web search and data mining
Probabilistic non-linear distance metric learning for constrained clustering
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering
Semi-supervised change detection using modified self-organizing feature map neural network
Applied Soft Computing
Change detection in remotely sensed images using semi-supervised clustering algorithms
International Journal of Knowledge Engineering and Soft Data Paradigms
Information Sciences: an International Journal
| Hi-index | 0.00 |
While distance function learning for supervised learning tasks has a long history, extending it to learning tasks with weaker supervisory information has only been studied recently. In particular, some methods have been proposed for semisupervised metric learning based on pairwise similarity or dissimilarity information. In this paper, we propose a kernel approach for semisupervised metric learning and present in detail two special cases of this kernel approach. The metric learning problem is thus formulated as an optimization problem for kernel learning. An attractive property of the optimization problem is that it is convex and, hence, has no local optima. While a closed-form solution exists for the first special case, the second case is solved using an iterative majorization procedure to estimate the optimal solution asymptotically. Experimental results based on both synthetic and real-world data show that this new kernel approach is promising for nonlinear metric learning