Discriminative k-metrics. Pages 1009 - 1016. PREVIOUS ARTICLE. Optimistic initialization and greediness lead to polynomial time learning in factored MDPs.

x in the Mahalanobis metric given by A = FT F, “k- subspaces” is replaced by discriminative “k-metrics”. We will choose g1 to be large when its argument is.

Szlam, A., & Sapiro, G. (2009). Discriminative k-metrics. Proceedings of the 26th International Conference On Machine Learning, ICML 2009, 1009–1016. Szlam, A., ...

The k q-flats algorithm is a generalization of the popular k-means algorithm where q di-mensional best fit affine sets replace centroids as the cluster ...

“Discriminative k metrics and the Chan-Vese model for object detection and segmentation.” Proceedings of SPIE - The International Society for Optical ...

Sep 4, 2009 · ... Discriminative k metrics and the Chan-Vese model for object detection and segmentation. Arthur Szlam, Guillermo Sapiro. Author Affiliations +.

In this work, a modification of the k q-flats framework for pattern classification introduced in [9] is used for pixelwise object detection.

Missing: metrics. | Show results with:metrics.

The discriminative k-metrics framework can be though of as a method of building ... Discriminative k-metrics. In Léon Bottou and. Michael Littman, editors ...

We present a theoretical study on the discriminative clustering framework, re- cently proposed for simultaneous subspace selection via linear discriminant ...