Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Plant plays an important role in agricultural, industrial, medicine, environmental and
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …

Sparse representation has attracted much attention from researchers in fields of signal
processing, image processing, computer vision, and pattern recognition. Sparse …

Feature selection (FS) is an important component of many pattern recognition tasks. In these
tasks, one is often confronted with very high-dimensional data. FS algorithms are designed …

The camera provides rich visual information regarding objects and becomes one of the most
mainstream sensors in the automation community. However, it is often difficult to be …

Locality and label information of training samples play an important role in image
classification. However, previous dictionary learning algorithms do not take the locality and …

Dexterous robots have emerged in the last decade in response to the need for fine-motor-
control assistance in applications as diverse as surgery, undersea welding, and mechanical …

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 …

Spacecraft health monitoring and failure prevention are major issues in space operations. In
recent years, machine learning techniques have received an increasing interest in many …

Color texture retrieval is a hot research area in image analysis. In this paper, we propose an
efficient color texture retrieval method by using copula model based on Gabor wavelets …