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The method relies only on the knowledge of the smallest and largest eigenvalues of an auxiliary matrix.
In contrast with the three previous techniques, a fourth method relies only upon the local characteristics of the DAG and state of the schedule for determining a core's viability for supply voltage raise, severely reducing run-time complexity.
However, since the additional to EEG channels (e.g., ECG, EOG, EMG) are not always available or easy to acquire, our method relies only on EEG signals.
Since the STP method relies only on the second-order statistics, it may find other applications in areas where multi-sensor data are processed, i.e. in the electroencephalography, as a means for enhancing EEG signals.
The method relies only on the 3D shape, with texture information not being used in any part of the algorithm, that makes it inherently invariant to changes in the background, illumination, and to some extent viewing angle variations.
Moreover, our method relies only on short trackings of one cell cycle to quantify sister correlations (Fig. 7).
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Departing from the approach used in the FE-HMM, we show that interpolation techniques based on the reduced basis methodology (an offline-online strategy) allow one to design an efficient numerical method relying only on a small number of accurately computed micro solutions.
If we attack the image with the classification-based method relying only on VLFeat, we obtain the results of Figure 12 (top), where we omitted iterations 26 to 40 because the number of keypoints remained constant.
Similarly, in the present work, we do not use alignment techniques or any sequence information in our method, relying only on structural grounds.
The method relied only on the central coordinates of the objects, since any other features such as morphology, volume or intensity were very limited.
A major contributor to poor outcomes is that these methods rely only on screw purchase in the bone to maintain fracture reduction.
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