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ICML
2008
IEEE
14 years 8 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul
MTSR
2007
Springer
14 years 1 months ago
Quality Metrics in Learning Objects
In today's rapidly evolving society, the range and depth of information available to us is quickly growing which affects educational institutions, who find it difficult to kee...
Juan F. Cervera, María G. López-L&oa...
ICVS
2009
Springer
14 years 2 months ago
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval
An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative co...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
ICML
2003
IEEE
14 years 8 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang