[PDF] Top 20 A Stochastic Algorithm for Feature Selection in Pattern Recognition
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A Stochastic Algorithm for Feature Selection in Pattern Recognition
... ¿From the previous empirical study, we can conclude that OFW can dramatically reduce the dimen- sion of the feature space while preserving the accuracy of classification and even enhance it in many cases. We ... See full document
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Index-Term:- Spectral features, spectral density feature selection, pattern recognition, retrieval accuracy.
... towards selection of feature coefficients based on its energy ...the feature representiaon in transformed domain, multi wavelet transformations were used for finer spectral ...large feature ... See full document
8
Random forest based optimal feature selection for partial discharge pattern recognition in HV cables
... categories, feature selection is conducive to removal of the redundant and irrelevant features and to reduction of the computational complexity of the algorithm ...[8]. Feature ... See full document
10
Consistent Feature Selection for Pattern Recognition in Polynomial Time
... We have also identified a different feature selection problem, that of discovering all relevant fea- tures ( ALL - RELEVANT ). This problem is much harder than MINIMAL - OPTIMAL , and has hitherto received ... See full document
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Multi Spectral Inter-Correlative Approach for Feature Selection in Pattern Recognition
... In the process of multi wavelet transform as the decompositions are made for each band isolately, the obtained coefficients are hence divided into further bands and processing over such ‘n scale-bands’ results in ... See full document
6
Training with Input Selection and Testing (TWIST) Algorithm: A Significant Advance in Pattern Recognition Performance of Machine Learning
... use Feature Selection to try to reduce the number of variables that are used in the classification while maintaining an acceptable level of accuracy in the ... See full document
10
Vol 2, No 9 (2011)
... as pattern recognition, image processing, feature selection, neural computing, conflict analysis, decision support, data mining and knowledge discovery process from large data sets [4] [5] ... See full document
5
On The Design Optimization for Enhanced Face Recognition
... Face Recognition is one of the problems which can be handled very well using Hybrid techniques or mixed transform rather than single ...Face Recognition. Feature selection (FS) is a global ... See full document
7
An evolutionary algorithm based Feature extraction and selection to Persian and Arabic Handwritten Recognition
... in recognition of Persian handwritten letters was the result of this ...genetic algorithm- neural network method, 63 selected features were applied to proposed algorithm as ...this algorithm ... See full document
5
Optimized feature selection for tropical wood species recognition using genetic algorithm
... new feature extractor called Statistical Properties of Pores Distribution (SPPD) which extracts all information from pores characteristics; pores size, pores density and types of pores, was ...This feature ... See full document
40
Pattern Recognition with Slow Feature Analysis
... Slow feature analysis (SFA) is a new unsupervised algorithm to learn nonlinear functions that extract slowly varying signals from time series (Wiskott and Sejnowski, ...in pattern recognition ... See full document
14
Iris recognition optimized by ICA using Parallel Cat Swarm optimization
... Feature selection is an optimization technique used in Iris recognition ...accurate recognition of iris from the database, feature selection removes the unrelated, noisy and ... See full document
6
An Efficient Feature Selection Technique using Genetic Algorithm for Activity Recognition of Elder People
... Machine learning is the subfield of computer science that offers computers the capability to learn without having to be explicitly programmed. Machine learning is employed in a range of computing tasks where designing ... See full document
6
An Effective Image Feature Selection and Mining Algorithm
... SAR images have advantages such as all-weather, good penetration, large area imaging with high sensitivity, vast role distance. The gray value of artificial target is significantly higher than other targets in SAR ... See full document
5
Facial Expression Recognition Using Uniform Local Binary Pattern with Improved Firefly Feature Selection
... firefly algorithm has an adaptive parameter control strategy based on Chaos ...firefly algorithm will be compared with the improved firefly (GD-FA) in a statistical sense to prove that the proposed firefly ... See full document
10
Feature Subset Selection Using Genetic Algorithm for Named Entity Recognition
... In this paper we consider different contextual and orthographic word-level features. These features are language independent in nature, and can be very easily derived for almost all the languages with a very little ... See full document
10
Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm
... windowing algorithm has been proposed for electrocardiogram wave feature ...detection. Feature extrac- tion and pattern recognition have been achieved on normal ECG data ranging from 30 ... See full document
10
Neural Network and Adaptive Feature Extraction Technique for Pattern Recognition
... ...(9) Here n denotes the number of training samples, and the learning rate. The attentive reader will notice that the unconstrained use of this learning algorithm would drive to infinity because the weight would ... See full document
6
Accelerometer Based Digital Pen for Handwritten Digit Recognition
... process, feature generation, feature selection and ...of feature house. Then for final recognition all the information is move to probabilistic neural network (PNN) for final ...valid ... See full document
11
Face Recognition based on a Hybrid Meta heuristic Feature Selection Algorithm
... the feature set is m then there will be 2 m possible feature ...The selection of best feature subset can be viewed as a combinatorial optimization problem and is solved using Genetic ... See full document
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