Method and system of creating an approximate kernel matrix to train a kernel machine
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United States of America Patent
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Jan 25, 2011
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app pub date -
Jun 26, 2007
filing date -
Jun 26, 2007
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Abstract
A method and system of creating an approximate kernel matrix to train a kernel machine. In one embodiment of the invention, a set of kernel machine training data is partitioned into a set of partitioned training data based on a set of partition parameters. The set of partition parameters includes one or more of, an axis-aligned grid location, or an axis-aligned grid resolution in one embodiment of the invention. A partition matrix that approximates a kernel machine kernel matrix is created from the set of partitioned training data and the partition matrix is used to train a kernel machine in one embodiment of the invention.
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