Linear kernel SVM in the measurement domain has true accuracy close to the accuracy of the best linear threshold classifier in the data domain. This is beneficial both from the compressed sensing and the machine learning points of view.
Linear kernel SVM in the measurement domain has true accuracy close to the accuracy of the best linear threshold classifier in the data domain. This is beneficial both from the compressed sensing and the machine learning points of view. Course Project for CS754: Advanced Image Processing
Linear kernel SVM in the measurement domain has true accuracy close to the accuracy of the best linear threshold classifier in the data domain. This is beneficial both from the compressed sensing and the machine learning points of view.
Linear kernel SVM in the measurement domain has true accuracy close to the accuracy of the best linear threshold classifier in the data domain. This is beneficial both from the compressed sensing and the machine learning points of view. Course Project for CS754: Advanced Image Processing