Title:
ANALYZING DATA USING A HIERARCHICAL STRUCTURE
Document Type and Number:
WIPO Patent Application WO/2011/156634
Kind Code:
A3
Abstract:
Apparatus, systems, and methods for analyzing data are described. The data can be analyzed using a hierarchical structure. One such hierarchical structure can comprise a plurality of layers, where each layer performs an analysis on input data and provides an output based on the analysis. The output from lower layers in the hierarchical structure can be provided as inputs to higher layers. In this manner, lower layers can perform a lower level of analysis (e.g., more basic/fundamental analysis), while a higher layer can perform a higher level of analysis (e.g., more complex analysis) using the outputs from one or more lower layers. In an example, the hierarchical structure performs pattern recognition.
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Inventors:
DLUGOSCH PAUL (US)
Application Number:
PCT/US2011/039849
Publication Date:
April 05, 2012
Filing Date:
June 09, 2011
Export Citation:
Assignee:
MICRON TECHNOLOGY INC (US)
DLUGOSCH PAUL (US)
DLUGOSCH PAUL (US)
International Classes:
G06F9/38
Foreign References:
| US7039233B2 | 2006-05-02 | |||
| US20070005355A1 | 2007-01-04 | |||
| US20080168013A1 | 2008-07-10 | |||
| US20080201281A1 | 2008-08-21 |
Other References:
ZHANG C. ET AL.: "Intrusion Detection using Hierarchical Neural Networks", PATTERN RECOGNITION LETTERS, vol. 26, no. 6, May 2005 (2005-05-01), pages 779 - 791, XP027779674
Attorney, Agent or Firm:
MADDEN, Robert, B. et al. (Lundberg & Woessner, P.A.,P.O. Box 293, Minneapolis Minnesota, US)
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