Abstract: In order to address the problems of low efficiency and poor accuracy of feature extraction in the process of heterogeneous image alignment caused by the complex environment of the substation ...
Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
Abstract: Feature Selection plays key role to truncate the high dimensionality in the datasets through eradicating the unwanted and noisy attributes to improve the performance of classification. The ...