This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
— We present a motion planning scheme for ground vehicles operating in a partially known environment. Kinematic constraints stemming from vehicle dynamics and from the requiremen...
In spite of the high parallelism exhibited by cellular automata architectures, most implementations are usually run in software. For increasing execution parallelism, hardware imp...