CP Wang, W Wei, JS Zhang, HB Song - Applied Intelligence, 2018 - Springer
Dictionary learning has recently attracted a great deal of attention due to its efficacy in sparse representation based image classification task. There are two main limitations of the …
Conventional dictionary learning algorithms suffer from the following problems when applied to face recognition. First, since in most face recognition applications there are only a limited …
As one of the most popular research topics, sparse representation and dictionary learning technique has received an increasing amount of interest in recent years. Sparse …
Recently, sparse representation based classification (SRC) and collaborative representation based classification (CRC) have been successfully used for visual recognition and have …
Abstract Strict '0-1'block-diagonal structure has been widely used for learning structured representation in face recognition problems. However, it is questionable and unreasonable …
During the past several years, as one of the most successful applications of sparse coding and dictionary learning, dictionary-based face recognition has received significant attention …
Y Chen, J Su - Pattern Recognition, 2017 - Elsevier
In sparse dictionary learning based face recognition (FR), a discriminative dictionary is learned from the training set so that good classification performance can be achieved on …
In recent years, there has been a growing interest in the study of dictionary learning for face recognition. Most of the conventional dictionary learning methods focus only on a single …
Dictionary learning (DL) for classification aims to learn a codebook from training samples to enhance the discriminative capability of their coding vectors. But how to determine …