Markov model discriminator using negative examples

Details Markov model discriminator using negative examples Markov model discriminator using negative examples

1997-12-19

2000-08-29

Teska, Kevin J.

Image analysis

Histogram processing

For setting a threshold

39550027, 382224, G06F 1518, G06K 962

Patent

active

061120219

ABSTRACT:
Negative examples are used along with positive examples to modify a Markov Model resulting in lower error rates in classification tasks as compared with conventionally trained Markov models. The subject system is used for identifying particular traits or characteristics of sequences to permit identification of, for instance, inappropriate web page material, hand signing gestures, audio program material type, authorship of a text, with the system also being useful in speech recognition, as well as seismic, medical, and industrial monitoring.

REFERENCES:
patent: 5724487 (1998-03-01), Streit
patent: 5754681 (1998-05-01), Watanabe et al.
L. R. Rabiner and B. H. Juang, An Introduction to Hidden Markov Models, I ASSP Magazine, pp 4-16, Jan. 1986.

Affiliated with

Also associated with

Rating

Markov model discriminator using negative examples does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Markov model discriminator using negative examples, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Markov model discriminator using negative examples will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1257462