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Further improvement in recognition accuracy is obtained when the scheme is built by including MFCC features in the pool of features.
Each classifier for an emotional class is built by a feature identified from a pool of features and a classifier identified from a pool of classifiers that optimize the recognition of the particular emotion.
Features 1 10 make up our basic pool of features.
For sequential clustering, we denote a pool of features for class c as F q c.
Similarly, feature 12 was added to the basic pool of features when inducing the classifiers for dimension Purpose.
Alternatively, boosted classifiers as proposed by Viola and Jones (2004) avoid this by choosing a subset from a pool of features.
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Unlike other biologically inspired models of object recognition such as HMAX (Riesenhuber and Poggio 1999) and the Neocognitron (Fukushima 1980 , 1988, which feature explicit pooling of features across different spatial scales or locations, one set of input features has no special status relative to any others prior to learning.
The method is based on the repetitive generation of random-feature subsets (here in combinations of four features) from the pool of available features and the evaluation of their classification capacity, in terms of binary linear classification (that is, SIRS versus sepsis, SIRS versus septic shock, sepsis versus septic shock).
In this paper, we consider a class of Haar-like features as a potential pool of candidate features.
The separation was achieved using only 3 sensing features out of a pool of 24 features, for a total of over 40 independent measurements in both models (see Table 3).
In each stage, a feature is chosen from the pool of remaining features, based on a linear combination of its separation power and its mutual correlation with all previously selected features.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com