At present, with the in-depth study of gene expression data, the significant role of tumor
classification in clinical medicine has become more apparent. In particular, the sparse …

Sparse representation methods based on l 1 and/or l 2 regularization have shown promising
performance in different applications. Previous studies show that the l 1 regularization based …

Video surveillance has attracted more and more interests in the last decade, video-based
Face Recognition (FR) therefore became an important task. However, the surveillance …

This work presents local difference binary pattern (LDBP) and local neighborhood difference
binary pattern (LNDBP) descriptors for face analysis. In LDBP, the difference is computed …

In this paper, we investigate the problem of classifying an image set of an object, and
develop a novel image set representation and classification algorithm. We propose to …

Agents with intelligent perceptual capabilities are considered state-of-the-art in advanced
intelligent systems. In addition, a multiagent system is considered an enabling technology …

An intuitive graph optimization face recognition approach called Harmony Search Oriented-
EBGM (HSO-EBGM) inspired by the classical Elastic Bunch Graph Matching (EBGM) …

In the sparse representation-based classification (SRC), the object recognition procedure
depends on local sparsity identification from sparse coding coefficients, where many existing …

During the last decade, sparse representations have been successfully applied to design
high-performing classification algorithms such as the classical sparse representation based …

Based on the introduction of face recognition technology and hair style recommendation
algorithm, this paper proposes the overall design and implementation of the Hair …