Image analysis – Pattern recognition
Reexamination Certificate
2003-12-09
2009-08-25
Ahmed, Samir A. (Department: 2624)
Image analysis
Pattern recognition
Reexamination Certificate
active
07580570
ABSTRACT:
Signals to be processed are categorized based on signal characteristics such as physical aspects, context, conditions under which the signals were generated and source, and/or based on other variables. Categorized sets of signals are processed, and an accuracy for each set calculated. Weights are then applied to accuracy values for the sets, and the weighted values summed. In some cases, certain sums are then weighted and further summed.
REFERENCES:
patent: 3601811 (1971-08-01), Yoshino
patent: 5091780 (1992-02-01), Pomerleau
patent: 5142666 (1992-08-01), Yoshizawa et al.
patent: 5687291 (1997-11-01), Smyth
patent: 5768478 (1998-06-01), Batten, Jr.
patent: 6151574 (2000-11-01), Lee et al.
patent: 6188976 (2001-02-01), Ramaswamy et al.
patent: 6285785 (2001-09-01), Bellegarda et al.
patent: 6484133 (2002-11-01), Vogt
patent: 6507816 (2003-01-01), Ortega
patent: 6539351 (2003-03-01), Chen et al.
patent: 6847731 (2005-01-01), Caulfield
patent: 7019749 (2006-03-01), Guo et al.
patent: 7136710 (2006-11-01), Hoffberg et al.
patent: 7167587 (2007-01-01), Ii et al.
patent: 7184591 (2007-02-01), Thiesson et al.
patent: 7272561 (2007-09-01), Miyazaki et al.
patent: 2003/0068610 (2003-04-01), Rzhetsky et al.
patent: 2005/0049983 (2005-03-01), Butler et al.
N.A. Diamantidis et al., “Unsupervised stratification of cross-validation for accuracy estimation,” Artificial Intelligence, vol. 116, pp. 1-16 (2000).
Sheng Gao et al., “A Maximal Figure-of-Merit Learning Approach to Text Categorization,” SIGIR '03, Jul. 28-Aug. 1, 2003, Toronto, Canada, pp. 174-181.
B. Kumar et al., Performance Evaluation of Highly Concurrent Computers by Deterministic Simulation, Communications of the ACM, vol. 21, No. 11, pp. 904-913 (Nov. 1978).
Yu-Sheng Lai et al., “Meaningful Term Extraction and Discriminative Term Selection in Text Categorization via Unknown-Word Methodology,” ACM Transactions on Asian Language Information Processing, vol. 1, No. 1, pp. 34-64 (Mar. 2002).
Bernhard Suhm et al., “Model-based and Empirical Evaluation of Multimodal Interactive Error Correction,” CHI '99, Pittsburgh, PA, pp. 584-591 (May 1999).
A. Olecka, “Evaluating Classifiers' Performance in a Constrained Environment,” Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Jul. 2002).
Manu Mitica
Sarac Radmila
Ahmed Samir A.
Fitzpatrick Atiba O
Microsoft Corporation
Shook Hardy & Bacon L.L.P.
LandOfFree
Accuracy model for recognition signal processing engines does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Accuracy model for recognition signal processing engines, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Accuracy model for recognition signal processing engines will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4074721