Recognition of handwritten digits using sparse codes generated by local feature extraction methods
Rebecca Steinert, Martin Rehn, Anders Lansner · The European Symposium on Artificial Neural Networks · 2006
We investigate when sparse coding of sensory inputs canimprove performance in a classification task. For this purpose, we use astandard data set, the MNIST database of handwritten digits. We system ...