Features classification based on redundancy segmentation in observing minute details group

Shahin Shafei

Physical Sciences Research International
Published: November 18 2013
Volume 1, Issue 4
Pages 141-143

Abstract

Context helps a learner to learn about the world. Context can start as a shallow understanding of a situation, place, scene or conversation. This shallow understanding allows a learner to draw connections to previously acquired knowledge, and to specialize a context if necessary. Learning must take advantage of redundancy, and context allows redundancy to be identified. Context can help one make a quick judgment of novelty. In a new situation, the learner should tread more carefully, observing minute details in order to make sense of the complex whole. When exposed to a similar situation, however, the learner can build upon the work done during the previous encounter.

Keywords: Image classification, lateral information, robust feature extraction and generation.

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