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 ArticleDOI
Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification
TL;DR: A method for automated classification of endoscopic images according to the pit pattern classification scheme is presented, where images taken during colonoscopy are transformed to the wavelet domain using the pyramidal discrete wavelet transform.
Journal ArticleDOI
A Novel Approach for Feature Selection based on the Bee Colony Optimization
TL;DR: Experiments over a standard benchmark demonstrate that applying Bee Colony Optimization in the context of feature selection is a feasible approach and improves the classification results.
Proceedings ArticleDOI
Document clustering based on cluster validation
TL;DR: Experimental results show that the proposed algorithm can find important feature subset, estimate the model order and yield higher micro-averaged precision than other four document clustering algorithms which require cluster number to be provided.
Journal ArticleDOI
Hybrid data fusion approach for fault diagnosis of fixed-axis gearbox:
TL;DR: The results show that the hybrid of empirical mode decomposition–Teager–Kaiser energy operator techniques employs the advantages traits of one or the other technique to generate overall improvement in diagnosing severity of local faults.
Proceedings ArticleDOI
Emotion sensitive speech control for human-robot interaction in minimal invasive surgery
TL;DR: In this paper, a robot-driven camera that can be controlled either manually by a joystick, or by speech to ensure free hands and feet, and reduced cognitive workload of the surgeon is introduced.
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.