… Therefore, Fisher discrimination dictionary learning (FDDL) for sparse representation is
explored for diagnosing PV array faults, including line-to-line faults (LLF), open-circuit faults (OCF…

… a discriminative Fisher embedding dictionary learning (… similarities of the learned dictionary
and coding coefficients in the … by integrating sparse representation and Fisher criterion and …

… That is, we need to calculate sparse coding problems as follows(4) min x ∥ y t … dictionary
learning, we propose a joint local-constraint and fisher discrimination based dictionary learning …

… of CRC and the Fisher discriminant in image classification, … sparse representation dictionary
learning, we propose a novel dictionary learning model that is called Fisher discrimination …

… representation and classification via dictionary learning (DL) have received much attention …
class, such as Fisher discrimination DL (FDDL) [7], projective dictionary pair learning (DPL) [9]…

… Sparse coding and dictionary learning has been widely used in the vision and … dictionary
learning algorithms can be roughly classified into two categories: analysis dictionary learning …

… reconstruction and discrimination ability of the obtained dictionary, we can add Fisher criterion
into the dictionary learning, … Sparse representation based fisher discrimination dictionary …

… of samples are obtained by the discriminative Fisher embedding dictionary learning algorithm.
By dictionary learning and sparse representation of training data, the DFEDTL algorithm …

… [36] proposed a Fisher discrimination dictionary learning (FDDL) method which applies the
Fisher criterion to the coding coefficients to enforce the small within-class scatter and large …

… In sparse representation-based classification, Fisher … In this paper, a Fisher discrimination
multiple kernel dictionary learning (FDMKDL) method is proposed, in which Fisher …