As a basic attribute of the surface of the object, the texture contains rich image information
such as color and texton. People use perceptual similarity to measure the similarity between …

… More speculatively, use of the cyber range could itself generate more training data to feed
machine learning (ML) models and aid in their development.The progress and value of such …

… fields, including computer vision, machine learning, optics, … power of advanced algorithms,
machine learning, and multi-… remains a dearth of comprehensive surveys on the subject. To …

… of computer vision, dynamic gesture recognition has been applied in a range of applications,
such as human-computer … , the paper provides a comprehensive survey from three aspects: …

Android has become the most popular mobile operating system in the past ten years due to
its three main advantages, namely, the openness of source code, richness of hardware …

… the operating efficiency, which has received extensive attention in recent years. Existing
studies mainly adopt value-based deep reinforcement learning methods such as DQN to solve …

… The security issues in the IoT system are identified as in-depth layer-wise. • An extensive
survey on similar technologies like machine learning, artificial intelligence, and Blockchain …

… deep learning in computer vision: A survey [24] 论述计算机视觉中深度学习模型的攻击与防御
2018 Adversarial machine learning in image classification: A survey … comprehensive survey […

… In this paper, an extensive survey about the mobile edge … processing, the Deep Reinforcement
Learning [DRL] algorithm is proposed. This approach to maximize the long-term benefits …

… Traditional machine learning methods and deep neural networks need a large?scale of
labeled samples as support in the process of training model. However,labeling a large?scale …