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hierarchical filtering

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Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering

Neural Information Processing SystemsApr-6-2023, 18:51:37 GMT

By their very nature, memory based algorithms such as KNN or Parzen windows require a computationally expensive search of a large database of prototypes. In this paper we optimize the search(cid:173) ing process for tangent distance (Simard, LeCun and Denker, 1993) to improve speed performance. The closest prototypes are found by recursively searching included subset.s of the database using dis(cid:173) tances of increasing complexit.y. This is done by using a hierarchy of tangent distances (increasing the Humber of tangent. At each stage, a confidence level of the classification is computed.

complex distance metric, efficient computation, hierarchical filtering, (4 more...)

Neural Information Processing Systems

Technology:

Information Technology > Software Engineering (0.40)
Information Technology > Artificial Intelligence (0.31)

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