Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
Amir Saffari, Martin Godec, Thomas Pock, Christian...
Recent work in muscle sensing has demonstrated the potential of human-computer interfaces based on finger gestures sensed from electrodes on the upper forearm. While this approach...
T. Scott Saponas, Desney S. Tan, Dan Morris, Jim T...
Easigami is a novel tangible user interface (TUI) and interactive system intended to help children to learn to fold 3D geometric forms and to explore 2D-3D transformations. We pre...
Yingdan Huang, Mark D. Gross, Ellen Yi-Luen Do, Mi...
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...