It wants proof of superior standing, such as awards (like Oscars, Nobels, the more prestigious the better), recognition in trade journals and a salary that stands out.
This collection was filtered to remove duplicates and chemicals, and to convert non-human proteins IDs to human IDs (for better recognition in the IPA programs).
These results suggest that alleviating the higher frequency components in the cepstra more likely results in better recognition performance in a noisy environment.
Fig. 11 Average recognition rates of ANSSOEMV, ETSI-XAFE, and MVA approaches on Aurora 2. a Test set A, b Test set B. c Test set C. As it is clear, the application of overestimation with mean and variance normalization of the cepstral parameters has led to improvements in the system recognition performance, which in comparison to ETSI-XAFE has a better recognition rate in most of the cases.
By train and test of implementing the proposed method on both clinically recorded signals from 40 patients and 30 signals of MIT BIH database, we reached better recognition accuracy in comparison to other well-known approaches.
It is then shown that the detection of leakages based on the training and testing of the proposed multi model decision system with pre data clustering, under multi operational conditions produces better recognition rates in comparison to the training based on the single model approach.
It is shown that the detection of leakages based on the training and testing of the GFMMNN with patterns of variation of nodal consumptions with or without confidence limits produces better recognition rates in comparison to the training based on patterns of nodal heads and pipe flows state estimates with or without confidence limits.
This simple fine-tuning procedure of DNN is not only faster than retraining from scratch but also generates better recognition performance in [42].
From the experiments performed on data from the SUSAS corpus, it can be concluded that combining the LSTM classifier with the Lyon cochlear representation gives better recognition results in comparison with combining the same classifier with the traditional MFCC representation.
In the experimental phase, results obtained from the LSTM network and the two different feature sets are compared, showing that features derived from the Lyon cochlear model give better recognition results in comparison with those obtained with the traditional MFCC representation.
Computer game experience did not significantly influence the recognition rates of natural or virtual faces; except for the virtual expressions of fear and neutrality, computer game experience was associated with a better recognition rate in males (fear: z = 2.18, p = 0.029; neutral: z = 2.72, p<0.01), which, however, failed significance after controlling for age.
