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Note that as the data rate decreases, the number of symbols involved in features' computations also decreases for fixed values of Ns and fs.
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Once the kernel computation has been optimized, the biggest processing part becomes the features computation.
The first one is the features computation cpp: it is lower for SoA.
Furthermore, after ψ 2,0 and ψ 5,1 features computation, intra-pulse modulation signals are described by matrices, which are used for recognition by using KNN classifier [22].
Our future work will focus on (1) the optimization of the features computation and (2) the multi-threading of the tracking in order to perform multi-target tracking with load balancing on the available core.
However, the feature computations are simplified as follows.
This section presents the procedure of preprocessing of image and their feature computations.
All prosodic feature computations are performed over the locution of the subject.
The perirhinal cortex represents the culmination of this object processing pathway, performing the most complex feature computations required to discriminate confusable objects, especially those with a high degree of visual feature overlap (Bussey and Saksida, 2002; Buckley and Gaffan 2006; Saksida and Bussey, 2010).
Based on the hierarchical model of human semantic memory and the noted differences in feature statistics, Taylor et al. (2006) predicted that the processing of living things requires more complex feature computations underpinned by the perirhinal cortex than the processing of non-living things.
The methods are comparable in terms of computational cost as it is the image processing, feature computation and, particularly, the k-means clustering that has the highest cost (the clustering is done over objects and even this evaluation set of ∼12 K images resulted in ∼750 K objects).
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