Siguang Dai

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This paper proposes a new K-View algorithm for texture image classification using rotation-invariant features. These features are statistically derived from characteristic view sets for each texture. Unlike the existing K-View algorithm, all the views used are transformed into rotation-invariant features and the K views are selected randomly. In contrast,(More)
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