Independent component analysis (ICA) and dictionary learning (DL) are the most successful blind source separation (BSS) methods for functional magnetic resonance imaging (fMRI) data analysis. However, ...

We propose a regression algorithm that utilizes a learned dictionary optimized for sparse inference on a D-Wave quantum annealer. In this regression algorithm, we concatenate the independent and ...

Sparse coding is a hot area in the field of Deep Learning. Deep learning and sparse coding appears highly promising for increasing the accuracy of image classification and it enables a system to look ...