Methods and systems for feature selection

Details Methods and systems for feature selection Methods and systems for feature selection

2007-10-02

2007-10-02

Werner, Brian P. (Department: 2624)

Image analysis

Learning systems

Trainable classifiers or pattern recognizers

C707S793000, C712S300000

Reexamination Certificate

active

11169107

ABSTRACT:
Methods and systems for feature selection are described. In particular, methods and systems for feature selection for data classification, retrieval, and segmentation are described. Certain embodiments of the invention are directed to methods and systems for complement sort-merge tree (CSMT), fast-converging sort-merge tree (FSMT), and multi-level (ML) feature selection. Accurate and fast results may be obtained by the feature selection methods and systems described herein.

REFERENCES:
Liu et al., “Video frame categorization using sort-merge feature selection”, Motion and Video Computing, 2002. Proceedings. Dec. 5-6, 2002, pp. 72-77.
Liu et al. “Sort-Merge Feature Selection for Video Data”, Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1-3, 2003.
Singh and Provan, “A Comparison of Induction Algorithms for Selective and Non-Selective Bayesian Classifiers” Machine Learning: Proceedings of the 12thInternational Conference, Morgan Kaufman, 1995, pp. 497-505.
L.S. Oliveira et al., “Feature Subset Selection Using Genetic Algorithms for Handwritten Digit Recognition” 14thBrazilian Symposium on Computer Graphics and Image Processing, 2001, pp. 362-369.
N. Abe et al., “Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis”, In Proceeding of Join IAPR International Workshops, 2002, pp. 470-479.
J. Bi, et al., “Dimensionality Reduction via Sparse Support Vector Machines”, Journal of Machine Learning Research 3, Mar. 2003, pp. 1229-1243.
S. Das, “Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection”, In Proceedings of the Eighteenth International Conference on Machine Learning, 2001, pp. 74-81.
Faloutsos and Lin, “FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets”, Proceedings of ACM SIGMOD, 1995, pp. 163-174.
R.O. Duda, et al., “Pattern Classification”, Wiley, New York, 2000.
E.P. Xing, et al., “Feature Selction for High-Dimensional Genomic Microarray Data”, Proceedings of the Eighteenth International Conference on Machine Learning, 2001, pp. 601-608.
International Search Report and Written Opinion of the International Search Authority dated Nov. 29, 2006.

Affiliated with

Also associated with

Rating

Methods and systems for feature selection does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Methods and systems for feature selection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods and systems for feature selection will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3878480