Strongly agree or strongly disagree?: Rating features in Support Vector Machines.

Emilio Carrizosa Amaya Nogales-Gómez Dolores Romero Morales

Published in: Inf. Sci. (2016)

Keyphrases

support vector
low level
feature extraction
classification accuracy
salient features
co occurrence
false positives
feature set
learning machines
structural information
computer vision
support vector machine
prediction accuracy
feature selection algorithms
feature space
feature ranking
large margin classifiers