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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Journal ArticleDOI
Feature selection based on the approximation of class densities by finite mixtures of special type
TL;DR: A new method of feature selection based on the approximation of class conditional densities by a mixture of parameterized densities of a special type, suitable especially for multimodal data, is presented.
Journal ArticleDOI
Facial soft biometric features for forensic face recognition
TL;DR: A functional feature-based approach useful for real forensic caseworks, based on the shape, orientation and size of facial traits, which can be considered as a soft biometric approach is proposed.
Journal ArticleDOI
A b c d e f g ...
SD Shafran,JM Conly +1 more
TL;DR: This study showed that serum adiponectin significantly decreased during the sixmonth follow up in military service compared to baseline levels, and was even shown in subjects that experienced a 5-10 % weight loss after six-months.
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Multi-modal emotion analysis from facial expressions and electroencephalogram
Xiaohua Huang,Jukka Kortelainen,Guoying Zhao,Xiaobai Li,Antti Moilanen,Tapio Seppänen,Matti Pietikäinen +6 more
TL;DR: The experimental results and comparisons with the average human performance show the effectiveness of the proposed multi-modal approach, based on facial expression and electroencephalogram (EEG) technologies.
Journal ArticleDOI
Miniature Compressive Ultra-spectral Imaging System Utilizing a Single Liquid Crystal Phase Retarder
TL;DR: This work presents an innovative Miniature Ultra-Spectral Imaging (MUSI) system and demonstrates the reconstruction of gigapixel spatio-spectral image cubes from spectral scanning shots numbering an order of magnitude less than would be required using conventional systems.
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.