IEEE

When Can Dictionary Learning Uniquely Recover Sparse Data From Subsamples?

Abstract: Sparse coding or sparse dictionary learning has been widely used to recover underlying structure in many kinds of natural data. Here, we provide conditions guaranteeing when this recovery is ...
IEEE

Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding

Abstract: We propose a convolutional sparse dictionary learning and coding approach for detecting and counting instances of a repeated object in a holographic lens-free image. The proposed approach ...