Capturing long-range correlations in patch models

Image analysis – Learning systems – Trainable classifiers or pattern recognizers

Reexamination Certificate

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C382S195000

Reexamination Certificate

active

07978906

ABSTRACT:
Systems and methodologies for modeling data in accordance with one or more embodiments disclosed herein are operable to receive input data, create data patches from the input data, obtain long-range correlations between the data patches, and model the input data as a patch model based at least in part on the data patches and the long-range correlations. Various learning algorithms are additionally provided for refining the patch model created in accordance with one or more embodiments disclosed herein. Further, systems and methodologies for synthesizing a patch model created in accordance with various aspects of the present invention with a set of test data to perform a transformation represented by the patch model on the test data are provided.

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