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Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach by Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia is a scholarly article available to read on EtoBox.

What is Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach about?

The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Author

Fitzgibbon, Andrew; Lazebnik, Svetlana; Perona, Pietro; Sato, Yoichi; Schmid, Cordelia

Publisher

Springer Berlin Heidelberg : Imprint : Springer

Published

2012

Language

EN

ISBN

9783642337093