Researchers at Sapientia University in Romania and Université de Lyon have recently carried out a performance evaluation of unrestricted mouse usage for impostor detection. Their findings, pre-published on arXiv, suggest that drag-and-drop mouse actions are the most...
Researchers at Orange Labs and Normandie University have developed a novel deep neural model for audiovisual emotion recognition that performs well with small training sets. Their study, which was pre-published on arXiv, follows a philosophy of simplicity,...
Researchers at the University of California, Los Angeles (UCLA), the University of Texas at Austin, and Hunan University (China) have recently devised a new method of preparing highly uniform, solution-processable, phase-pure semiconducting nanosheets. Their approach,...
Researchers at Laboratório de Computação de Alto Desempenho (LCAD) of Universidade Federal do Espírito Santo (UFES), in Brazil, have devised a novel strategy for correcting imperfections in occupancy grid maps by correcting invalid occupancy probabilities of map cells...
Researchers at the University of Lorraine have recently devised a new type of transfer learning based on model-free deep reinforcement learning with continuous sensorimotor space enlargement. Their approach, presented in a paper published during the eighth Joint IEEE...
Researchers at the State University of New York in Korea have recently explored new ways to detect both machine and human-created fake images of faces. In their paper, published in ACM Digital Library, the researchers used ensemble methods to detect images created by...
Researchers at the University of Washington have recently developed a new technique to automate the synthesis of stochastic computing (SC) circuits. Their method, presented in a paper pre-published on arXiv, is based on stochastic synthesis, which is traditionally a...
Researchers at the Innovation and Enterprise Research Laboratory (The Magic Lab) of the University of Technology Sydney have proposed a new robotics architecture called fog robotics (FR). Their approach, outlined in a paper pre-published on arXiv, leverages the...
Researchers at Shenzhen University have recently devised a method to detect images generated by deep neural networks. Their study, pre-published on arXiv, identified a set of features to capture color image statistics that can detect images generated using current...
A team of researchers at Cyxtera Technologies has recently proposed a neural network-based method for identifying malicious use of web certificates. Their approach, outlined in a paper published in ACM Digital Library, uses the content of transport layer security...