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To compare the performance of the proposed method with existing methods, experiments are performed on simulated data with corrupted outputs as well as on real-world data sets.
To investigate the performance of different combinations of the two feature extraction and multivariate feature selection methods, experiments are performed on a publicly available EEG data [4].
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Objectives: This pilot study investigates the use of i.v. or volatile anesthetics in a mouse model for CA. Methods: Experiments were approved by the ethical committee of VU Medical Centre Amsterdam.
To evaluate the different filtering methods, experiments were first run against a total of 3105 spectra from the previously mentioned sources and 384 spectra generated in-house.
In the scientific method, experiments are used to test a hypothesis, and the results are used to refine or reject the hypothesis.
To evaluate the proposed method, experiments are performed on three hyperspectral images.
To illustrate the application of this method, experiments are carried out in the counterflow configuration.
To validate the effectiveness of the proposed method, experiments are conducted in which human faces are detected and localized in images by combining different face models.
For the verification of the described method, experiments are presented in a standard Fizeau interferometer.
Thus, our proposed method is summarized as follows: In order to demonstrate the viability and efficiency of the proposed method, experiments are carried out on various image and kernels and compared with other state-of-the-art methods.
To investigate the performance of the proposed DGHM-based recognition method, experiments are conducted considering varying numbers of training and probe images chosen randomly and comparisons made with well-established methods using the standard protocols of commonly referred face databases.
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