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The Fixed-Plus-Variable Structure Computer System utilizes an inventory of modules which can be interconnected as special purpose configurations operating simultaneously with other parts of the system. Since the structure considered makes no permanent committment of hardware to relatively rarely used operations it permits reconsideration of designs(More)
We present a new method that addresses the problem of approximate nearest neighbor search via partitioning the feature space. The proposed random exemplar hashing algorithm can be used to generate binary codes of data to facilitate nearest neighbor search within large datasets. Inspired by the idea of using an ensemble of classifiers for discriminative(More)
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