Recognizing apparatus and recognizing method

Details Recognizing apparatus and recognizing method Recognizing apparatus and recognizing method

2011-01-25

2011-01-25

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Machine learning

C706S017000, C706S020000

Reexamination Certificate

active

07877334

ABSTRACT:
A recognizing apparatus includes a training vector input unit configured to enter training vectors for training, a weak classifier generator configured to obtain weak classifiers based on the value of an element of a dimension common to the training vectors using a learning method, a classifier integrator configured to obtain non-linear mappings for each dimension of the training vectors by combining the weak classifiers, a test vector input unit configured to input a test vector to be classified, a non-linear transformer configured to a transformed vector by transforming the values of the elements of the test vector using the respective non-linear mappings, and a score calculator configured to obtain a classification score by summing the value of the respective elements of the transformed vector and recognize the test vector using the classification score.

REFERENCES:
Dong et al., Boosting SVM Classifiers By Ensemble, ACM 1-59593-051-5/05/0005, pp. 1072 and 1073, May 2005.
Wu et al., Coformal Transformation of Kernel Functions: A Data-Dependent Way to Improve Support Vector Machine Classifiers, Neural Processing Letters 15: pp. 59-67, 2002.
Schapire, R. E. et al., “Improved Boosting Algorithms Using Confidence-Rated Predictions,” Machine Learning, vol. 37, No. 3, pp. 1-40, (1999).
Torralba, A. et al., “Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection,” In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 762-769, (2004).
Chen, L. F. et al., “A New LDA-Based Face Recognition System Which can Solve The Small Sample Size Problem,” Pattern Recognition, vol. 33, pp. 1713-1726, (2000).
Burges, C. J. C., “A Tutorial on Support Vector Machines for Pattern Recognition,” Data Mining and Knowledge Discovery, vol. 2, pp. 121-167, (1998).
Freund, Y. et al., “A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting,” Journal of Computer and System Sciences, vol. 55, Article No. SS971504, pp. 119-139, (1997).
Notification of Reasons for Refusal issued by the Japanese Patent Office on Aug. 26, 2008, for Japanese Patent Application No. 2006-241804, and abridged English-language translation thereof.
Morooka et al., “Face Detection by Generating and Selecting Features Based on Kullback-Leibler Divergence,” The IEICE Transactions on Information and Systems (2006), J89-D:530-540.

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