The image is an important way for people to understand the world. How to make the
computer have image recognition function is the goal of image recognition research. In …

Human activity recognition (HAR) is a hot research topic which aims to understand human
behavior and can be applied in various applications. However, transitions between activities …

Segmentation plays an important role in many preprocessing stages in image processing.
Recently, convex relaxation methods for image multi-labelling were proposed in the …

This paper presents a novel method for movement disorder detection using a single Kinect
sensor. Numerous recent studies have focused on gait analysis involving spatiotemporal …

The class distribution of imbalanced data sets is skewed in practical application. As
traditional clustering methods mainly are designed for improving the overall learning …

Face recognition technology is an application technology of information security, which is a
kind of multi-disciplinary technology, such as comprehensive mathematics, pattern …

光伏发电出力中的高比例异常数据具有相互重叠, 多高斯分布的特点, 如何精确地剔除光伏发电
出力中的高比例异常数据是实现光伏功率精确预测的关键问题. 文章分析了光伏发电出力中高 …

Spectral clustering is a popular graph-based clustering method which is widely applied to
pattern recognition and image segmentation. Traditional spectral clustering usually involves …

k-Means (KM) is well known for its ease of implementation as a clustering technique. It has
been applied for color quantization in RGB, YUV, hyperspectral image, Lab, and other …

传统大气散射模型在图像去雾的求解过程中通常假设场景入射光为全局常量,
然而这种假设并不合理, 为此提出一种基于改进大气散射模型的图像去雾算法 …