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By using PCA more than 98% reduction in the dimension of feature vector is achieved.
By proposing an adaptive threshold policy, IOCA is able to automatically determine the dimension of feature subspace.
IPCA is mainly designed to extract the useful information from original face images through reducing the dimension of feature vectors.
It is observed that data size, number of classes and dimension of feature space and inter class separability affect the performance of any classifier.
DG is the dimension of feature space.
Both of them reduced the dimension of feature space considerably.
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In addition, with the decreasing dimension of features, the MI measures of the three versions of cepstral coefficients are gradually reduced.
Also, despite the dimension of features going up to as high as 7,290 before REF feature elimination, it did achieve the best detection rate of 93.55% up to now on Columbia Image Splicing Detection Evaluation Dataset [11].
The R-SAE model keeps robust seizure detection ability even with such small dimension of features.
We can use FPCA to help us to reduce the dimension of features and to ease the computational effort.
As can be seen, the dimension of features was greatly reduced using RDE-based features, resulting in a semantic style representation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com