Enhanced max margin learning on multimodal data mining in a multimedia database

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United States of America Patent

PATENT NO 10007679
SERIAL NO

14583893

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Abstract

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Multimodal data mining in a multimedia database is addressed as a structured prediction problem, wherein mapping from input to the structured and interdependent output variables is learned. A system and method for multimodal data mining is provided, comprising defining a multimodal data set comprising image information; representing image information of a data object as a set of feature vectors in a feature space; clustering in the feature space to group similar features; associating a non-image representation with a respective image data object based on the clustering; determining a joint feature representation of a respective data object as a mathematical weighted combination of a set of components of the joint feature representation; optimizing a weighting for a plurality of components of the mathematical weighted combination with respect to a prediction error between a predicted classification and a training classification; and employing the mathematical weighted combination for automatically classifying a new data object.

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Patent Owner(s)

  • THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Guo, Zhen Warrington, US 62 480
Zhang, Zhongfei Vestal, US 24 915

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