Microsoft Technology Licensing, LLC

Marc Daskalovic

Christopher Bruce Weare

Eugene Zarakhovsky

Christian Eric Schrock

A method is provided to match an unknown data point with a known data point contained in a multi-dimensional data structure. The method may include receiving data from any multi-dimensional source where a query may be used to locate specific data points within that source. The method receives a number of inputs, including a Euclidean error distance and a number of reference points to use. Furthermore, the method determines optimal reference points to locate a relatively small number of data points within the data structure that possibly match the unknown point. Once possible match points are located, the method then determines the unknown point's match.

Dimensional reduction using data matching in high dimensional space

In connection with a classification system for classifying media entities that merges perceptual classification techniques and digital signal processing classification techniques for improved classification of media entities, a system and methods are provided for automatically classifying and characterizing tempo properties of media entities. Such a system and methods may be useful for the indexing of a database or other storage collection of media entities, such as media entities that are audio files, or have portions that are audio files. The methods also help to determine media entities that have similar, or dissimilar as a request may indicate, tempo(s) by utilizing classification chain techniques that test distances between media entities in terms of their properties. For example, a neighborhood of songs may be determined within which each song has similar tempo characteristics.

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Marc Daskalovic