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
Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms
Ammara Masood,Adel Al-Jumaily +1 more
TL;DR: A framework for comparative assessment of skin cancer diagnostic models is suggested and results based on these models are reviewed, including those specifically developed for skin lesion diagnosis.
Journal ArticleDOI
Tree Species Classification in Boreal Forests With Hyperspectral Data
TL;DR: Evaluating the potential of two high spectral and spatial resolution hyperspectral sensors, operating at different wavelengths, for tree species classification of boreal forests showed that the HySpex VNIR 1600 sensor is effective in borealTree species classification with kappa accuracies over 0.8.
Journal ArticleDOI
Toward a hybrid brain-computer interface based on imagined movement and visual attention.
Brendan Z. Allison,Clemens Brunner,Vera Kaiser,Gernot Müller-Putz,Christa Neuper,Christa Neuper,Gert Pfurtscheller +6 more
TL;DR: A novel combination of tasks that could inspire BCI systems that are more accurate than conventional BCIs are introduced, especially for users who cannot attain accuracy adequate for effective communication.
Journal ArticleDOI
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis
TL;DR: The strategy to use several different feature models in a single pool, together with feature selection to optimize the fault diagnosis system, and robust performance estimation techniques usually not encountered in the context of engineering are employed are employed.
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.