The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 20, 2016

Filed:

Aug. 29, 2012
Applicants:

Pierre Jallon, Grenoble, FR;

Florence Gris, Tullins, FR;

Inventors:

Pierre Jallon, Grenoble, FR;

Florence Gris, Tullins, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06N 7/00 (2006.01); G06N 99/00 (2010.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06N 7/00 (2013.01); G06K 9/00335 (2013.01); G06K 9/6297 (2013.01); G06N 7/005 (2013.01); G06N 99/005 (2013.01);
Abstract

A method for configuring a device for detecting a situation from a set of situations where a physical system comprises the following steps: reception of a learning sequence corresponding to a given situation of the physical system; determination of parameters of a hidden-state Markov statistical model recorded in the detection device and relating to the given situation, on the basis of a prior initialization of these parameters. The prior initialization comprises the following steps: determination of a plurality of probability distributions from the learning sequence; distribution of the probability distributions between the various hidden states of the statistical model in question by global optimization of a function of adaptation of these probability distributions to the various hidden states and to impossible transition constraints; and initialization of the parameters of the statistical model in question using given representative probability distributions for each hidden state of the statistical model in question.


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