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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.
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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).
Three parts are included in this research: ST-RFT spectrogram computation, moments feature computation, and recognition.
A 21-channel filterbank is used for 13-dimensional MFCC ( to ) feature computation.
After ψ 3,3 feature computation, intra-pulse modulation signals are described by vectors.
First-stage feature computation and data rate reduction play a crucial role in an efficient visual information processing system.
Filter design and feature computation from samples are discussed and recognition performance with different choices is presented.
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