Projects that are tagged with metric learning.


Logo Hub Miner 1.1

by nenadtomasev - January 22, 2015, 16:33:51 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1152 views, 186 downloads, 2 subscriptions

About: Hubness-aware Machine Learning for High-dimensional Data

Changes:
  • BibTex support for all algorithm implementations, making all of them easy to reference (via algref package).

  • Two more hubness-aware approaches (meta-metric-learning and feature construction)

  • An implementation of Hit-Miss networks for analysis.

  • Several minor bug fixes.

  • The following instance selection methods were added: HMScore, Carving, Iterative Case Filtering, ENRBF.

  • The following clustering quality indexes were added: Folkes-Mallows, Calinski-Harabasz, PBM, G+, Tau, Point-Biserial, Hubert's statistic, McClain-Rao, C-root-k.

  • Some more experimental scripts have been included.

  • Extensions in the estimation of hubness risk.

  • Alias and weighted reservoir methods for weight-proportional random selection.


Logo Sparse Compositional Metric Learning v1

by bellet - May 28, 2014, 09:54:10 CET [ BibTeX BibTeX for corresponding Paper Download ] 1093 views, 387 downloads, 2 subscriptions

About: Scalable learning of global, multi-task and local metrics from data

Changes:

Initial Announcement on mloss.org.


Logo GESL v1

by bellet - May 28, 2014, 09:42:21 CET [ BibTeX BibTeX for corresponding Paper Download ] 830 views, 323 downloads, 1 subscription

About: Learning string edit distance / similarity from data

Changes:

Initial Announcement on mloss.org.