Computers

A Hierarchical Discriminative Sparse Representation Classifier for EEG Signal Detection

7 days ago   |   By IEEE/ACM

Classification of electroencephalogram signal data plays a vital role in epilepsy detection. Recently sparse representation-based classification methods have achieved the good performance in EEG signal automatic detection, by which the EEG signals are sparsely represented using a few active coefficients in the dictionary and classified according to the reconstruction criteria. However, most of SRC learn a linear dictionary for encoding, and cannot extract enough information and nonlinear relationship of data for classification. To solve this problem, a hierarchical discriminative sparse...
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Epilepsy Signal Recognition Using Online Transfer TSK Fuzzy Classifier Underlying Classification Error and Joint Distribution Consensus Regularization

7 days ago   |   By IEEE/ACM

In this study, an online transfer TSK fuzzy classifier O-T-TSK-FC is proposed for recognizing epilepsy signals. Compared with most of the existing transfer learning models, O-T-TSK-FC enjoys its merits from the following three aspects: 1) Since different patients often response to the same neuronal firing stimulation in different neural manners, the labeled data in the source domain cannot accurately represent the primary EEG data in the target domain. Therefore, we design an objective function which can integrate with subject-specific data in the target domain to induce the target...
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World Biotechnology Congress 2019

Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...

World Biotechnology Congress 2019

Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...

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