[PDF][PDF] Distance metric learning with eigenvalue optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
[PDF][PDF] Distance Metric Learning with Eigenvalue Optimization
Y Ying, P Li - Journal of Machine Learning Research, 2012 - academia.edu
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
[PDF][PDF] Distance Metric Learning with Eigenvalue Optimization
Y Ying, P Li - Journal of Machine Learning Research, 2012 - Citeseer
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
[PDF][PDF] Distance Metric Learning with Eigenvalue Optimization
Y Ying, P Li - Journal of Machine Learning Research, 2012 - core.ac.uk
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
Distance Metric Learning with Eigenvalue Optimization.
Y Ying, P Li - Journal of Machine Learning Research, 2012 - search.ebscohost.com
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
Distance Metric Learning with Eigenvalue Optimization
Y Ying, P Li - Journal of Machine Learning Research, 2012 - jmlr.org
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
[PDF][PDF] Distance Metric Learning with Eigenvalue Optimization
Y Ying, P Li - empslocal.ex.ac.uk
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
[PDF][PDF] Distance Metric Learning with Eigenvalue Optimization
Y Ying, P Li - Journal of Machine Learning Research, 2012 - jmlr.csail.mit.edu
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
[PDF][PDF] Distance Metric Learning with Eigenvalue Optimization
Y Ying, P Li - Journal of Machine Learning Research, 2012 - researchgate.net
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
Distance metric learning with eigenvalue optimization
Y Ying, P Li - The Journal of Machine Learning Research, 2012 - dl.acm.org
The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning …