The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Mobile applications are becoming increasingly ubiquitous and provide ever richer functionality on mobile devices. At the same time, such devices often enjoy strong connectivity wi...
— In this paper we outline a grasp planning system designed to augment the cortical control of a prosthetic arm and hand. A key aspect of this task is the presence of on-line use...
Matei T. Ciocarlie, Samuel T. Clanton, M. Chance S...
To ensure that a trust negotiation succeeds whenever possible, authorization policy compliance checkers must be able to find all minimal sets of their owners' credentials tha...
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...