Journal ArticleDOI
Floating search methods in feature selection
TLDR
Sequential search methods characterized by a dynamically changing number of features included or eliminated at each step, henceforth "floating" methods, are presented and are shown to give very good results and to be computationally more effective than the branch and bound method.About:
This article is published in Pattern Recognition Letters.The article was published on 1994-11-01. It has received 3104 citations till now. The article focuses on the topics: Beam search & Jump search.read more
Citations
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Proceedings Article
Recognition of interest in human conversational speech.
TL;DR: An approach that analyses acoustic and linguistic cues of a spoken utterance by means of descriptive statistical analysis and subsequent feature space optimization to find relevant acoustic attributes and linguistic information integration.
Book
Face, Expression, and Iris Recognition Using Learning-based Approaches
Charles R. Dyer,Guodong Guo +1 more
TL;DR: A face cyclograph representation is proposed to encode continuous views of faces, motivated by psychophysical studies on human object recognition and a machine learning technique is applied to solve the feature selection and classifier training problems simultaneously.
Journal ArticleDOI
Normalization benefits microarray-based classification
Jianping Hua,Yoganand Balagurunathan,Yi Chen,James Lowey,Michael L. Bittner,Zixiang Xiong,Edward Suh,Edward R. Dougherty +7 more
TL;DR: The conclusion from the different experiment models considered in the study is that normalization can have a significant benefit for classification under difficult experimental conditions, with linear and Lowess regression slightly outperforming the offset method.
Journal ArticleDOI
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study.
TL;DR: In this article, a support vector machine (SVM) algorithm was applied to the processed signals in order to identify and classify COVID-19 coughs using 3D plot or waterfall representation of the signal frequency spectrum, the salient features of the cough data are revealed.
Journal ArticleDOI
Advanced methods for two-class pattern recognition problem formulation for minutiae-based fingerprint verification
Alessandra Lumini,Loris Nanni +1 more
TL;DR: A new method for minutiae-based fingerprint verification that approaches the problem as a two-class pattern recognition problem, and is one of the first works that uses as features for fingerprint verification the response of aminutiae matcher between two fingerprint.
References
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Journal ArticleDOI
A Branch and Bound Algorithm for Feature Subset Selection
TL;DR: In this paper, a branch and bound-based feature subset selection algorithm is proposed to select the best subset of m features from an n-feature set without exhaustive search, which is computationally computationally unfeasible.
Journal ArticleDOI
A note on genetic algorithms for large-scale feature selection
W. Siedlecki,Jack Sklansky +1 more
TL;DR: The preliminary results suggest that GA is a powerful means of reducing the time for finding near-optimal subsets of features from large sets.
Journal ArticleDOI
A Direct Method of Nonparametric Measurement Selection
TL;DR: A direct method of measurement selection is proposed to determine the best subset of d measurements out of a set of D total measurements, using a nonparametric estimate of the probability of error given a finite design sample set.
Journal ArticleDOI
On the effectiveness of receptors in recognition systems
T. Marill,D. Green +1 more
TL;DR: Some of the theoretical problems encountered in trying to determine a more formal measure of the effectiveness of a set of tests are discussed; a measure which might be a practical substitute for the empirical evaluation.
Journal ArticleDOI
On automatic feature selection
W. Siedlecki,Jack Sklansky +1 more
TL;DR: In this paper, a review of feature selection for multidimensional pattern classification is presented, and the potential benefits of Monte Carlo approaches such as simulated annealing and genetic algorithms are compared.