2018
Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation
ICASSP 2018accepted
Transfer learning using deep neural networks as feature extractors has become increasingly popular over the past few years. It allows to obtain state-of-the-art accuracy on datasets too small to train a deep neural network on its own, and it provides cutting edge descriptors that, combined with nonp…