Motor imagery BCI is a system that is very useful to help people with disabilities who can't move their limbs. These systems use brain activity patterns that are made from motor imagery without actual movement. In...
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ISBN:
(纸本)9781509064540
Motor imagery BCI is a system that is very useful to help people with disabilities who can't move their limbs. These systems use brain activity patterns that are made from motor imagery without actual movement. In this paper, we proposed enhanced One Versus One (OVO) structure to classify EEG-based multi-class motor imagery signals. Also, shrinkage estimator based Common Spatial pattern (CSP) is used to overcome disadvantages of conventional CSP. Shrinkage estimator is a procedure to estimate covariance matrix that regularizes CSP versus overfitting. The results of four-class classification of BCI competition IV dataset 2a, show that the performance is improved to 0.61 kappa score.
This paper presents a hybrid classifier based on extended Self Organizing Map with Probabilistic Neural Network. In this approach, at first we use feature extraction technique of Self Organizing Map to achieve topolog...
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ISBN:
(纸本)9783319119328
This paper presents a hybrid classifier based on extended Self Organizing Map with Probabilistic Neural Network. In this approach, at first we use feature extraction technique of Self Organizing Map to achieve topological ordering in the input data pattern. Then, with the use of Gaussian function, we obtain a better representation of the input dataset. After that, Probabilistic Neural Network is used to classify the input data. We have tested the proposed scheme on Iris, Glass, Breast Cancer Wisconsin, Wine, Ionosphere, Liver (BUPA), Sonar, Thyroid, and Vehicle data sets. The experimental results show better recognition accuracy of the proposed model than that of traditional Probabilistic Neural Network based classifier.
Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of ...
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ISBN:
(纸本)9781538610381
Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional image features. The resulted coefficients are encoded based on an ordinal procedure, namely Local Line Binary pattern.
In this article, the metaheuristic algorithm, tabu search, is proposed to deal with the clustering problem under the criterion of minimum sum of squares clustering. The presented method integrates four moving operatio...
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ISBN:
(纸本)3540287574
In this article, the metaheuristic algorithm, tabu search, is proposed to deal with the clustering problem under the criterion of minimum sum of squares clustering. The presented method integrates four moving operations and mutation operation into tabu search. Its superiority over local search clustering algorithms and another tabu clustering approach is extensively demonstrated for artificial and real life data sets.
Divide-and-Conquer (DC) paradigm is one of the classical approaches for designing algorithms. Principal Component Analysis (PCA) is a widely used technique for dimensionality reduction. The existing block based PCA me...
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ISBN:
(纸本)9783319119328
Divide-and-Conquer (DC) paradigm is one of the classical approaches for designing algorithms. Principal Component Analysis (PCA) is a widely used technique for dimensionality reduction. The existing block based PCA methods do not fully comply with a formal DC approach because (i) they may discard some of the features, due to partitioning, which may affect recognition;(ii) they do not use recursive algorithm, which is used by DC methods in general to provide natural and elegant solutions. In this paper, we apply DC approach to design a novel algorithm that computes principal components more efficiently and with dimensionality reduction competitive to PCA. Our empirical results on palmprint and face datasets demonstrate the superiority of the proposed approach in terms of recognition and computational complexity as compared to classical PCA and block-based SubXPCA methods. We also demonstrate the improved gross performance of the proposed approach over the block-based SubPCA in terms of dimensionality reduction, computational time, and recognition.
An optimal linear discriminant function algorithm is introduced which minimizes the error rate of internal samples. It is applied to two sets of data. One data set is imaginary and the other is actual data drawn from ...
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An optimal linear discriminant function algorithm is introduced which minimizes the error rate of internal samples. It is applied to two sets of data. One data set is imaginary and the other is actual data drawn from the medical field.
We investigate the possibility of using patternrecognition techniques to classify various disease types using data produced by a new form of rapid Mass Spectrometry. The data format has several advantages over other ...
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ISBN:
(纸本)3540287574
We investigate the possibility of using patternrecognition techniques to classify various disease types using data produced by a new form of rapid Mass Spectrometry. The data format has several advantages over other high-throughput technologies and as such could become a useful diagnostic tool. We investigate the binary and multi-class performances obtained using standard classifiers as the number of features is varied and conclude that there is potential in this technique and suggest research directions that would improve performance.
This paper presents a band adaptive modulation patternrecognition method to against the recognition instability in the electronic war which the signal bandwidth is varying. The method is based on researching decision...
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ISBN:
(纸本)9781424438822
This paper presents a band adaptive modulation patternrecognition method to against the recognition instability in the electronic war which the signal bandwidth is varying. The method is based on researching decision theory and characteristic parameter. The core of the method is that it can restructure the threshold of parameters with changing signal bandwidth and improve the identification results effectively. The simulation results show that: within signal bandwidth ranging from 1 to 7M, the four modulation patterns can be recognized, recognition rate is more than 95%.
Pairwise dissimilarity representations are frequently used as an alternative to feature vectors in patternrecognition. One of the problems encountered in the analysis of such data, is that the dissimilarities are rar...
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ISBN:
(纸本)9783319023090
Pairwise dissimilarity representations are frequently used as an alternative to feature vectors in patternrecognition. One of the problems encountered in the analysis of such data, is that the dissimilarities are rarely Euclidean, while statistical learning algorithms often rely on Euclidean distances. Such non-Euclidean dissimilarities are often corrected or imposed geometry via embedding. This talk reviews and and extends the field of analysing non-Euclidean dissimilarity data.
This paper is concerned with motion patternrecognition using built-in accelerometers inside of modern mobile devices - smartphones. More and more people are using these devices nowadays without using its full potenti...
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ISBN:
(纸本)9783642330179
This paper is concerned with motion patternrecognition using built-in accelerometers inside of modern mobile devices - smartphones. More and more people are using these devices nowadays without using its full potential for user motion recognition and evaluation. As accelerometer magnitude level comparison is not sufficient for motion patternrecognition morlet wavelet based recognition algorithm is introduced and tested as well as its device implementation is described and tested. Set of basic motion patterns walking, running and shaking with the device is tested and evaluated.
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