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Online Robust Dictionary Learning

2019-12-11 | |  85 |   47 |   0

Abstract

Online dictionary learning is particularly useful for processing large-scale and dynamic data in computer vision. It, however, faces the major diffificulty to incorporate robust functions, rather than the square data fifitting term, to handle outliers in training data. In this paper, we propose a new online framework enabling the use of 1 sparse data fifitting term in robust dictionary learning, notably enhancing the usability and practicality of this important technique. Extensive experiments have been carried out to validate our new framework.

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