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Some of the feature words selected by CHI formula may be the same or have similar meaning.
Some of the feature selection methods used for dimensionality reduction include mutual information [28], chi-square [28], and sensitivity analysis [1, 56].
To this aim, we propose for future work the fusion of some of the feature descriptors explained in this work or even fusing information with the previous system [5] based on geometrical distances between landmarks.
Some of the feature extraction methods used for dimensionality reduction include singular value decomposition [14, 37], principal component analysis [21, 23], independent component analysis [20], and factor analysis [7].
Some of the feature selection algorithms that have remained unexplored include the various polynomial degrees of the following: Sequential forward selection (Jain and Zongker 1997; Sun and Yao 2006).
With the massive popularity of Facebook, and Twitter, it makes sense for LinkedIn to use some of the feature from these networks in order to make its platform more social.
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