While recent techniques for discriminative dictionary learning have demonstrated
tremendous success in image analysis applications, their performance is often limited by the …

While recent techniques for discriminative dictionary learning have demonstrated
tremendous success in image analysis applications, their performance is often limited by the …

In this paper, a new discriminative dictionary learning algorithm is introduced. An entropy
based criterion is embedded into the objective function to enforce a proper structure for the …

Researches demonstrate that profiles (row vectors of coding coefficient matrix) can be used
to select and update atoms. However, the profiles are seldom used to construct …

While recent supervised dictionary learning methods have attained promising results on the
classification tasks, their performance depends on the availability of the large labeled …

Despite the fact that different objects possess distinct class-specific features, they also
usually share common patterns. Inspired by this observation, we propose a novel method to …

Semi-supervised dictionary learning aims to construct a dictionary by utilizing both labeled
and unlabeled data. To enhance the discriminative capability of the learned dictionary …

In this paper, we propose a new nonlinear dictionary learning (NDL) method and apply it to
image classification. While a variety of dictionary learning algorithms have been proposed in …

Dictionary learning has been successfully applied in image classification. However, many
dictionary learning methods that encode only a single image at a time while training, ignore …

Despite the fact that different objects possess distinct class-specific features, they also
usually share common patterns. This observation has been exploited partially in a recently …