Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Although odometry is nonlinear, it yields sufficiently to linearized analysis to produce a closed-form transition matrix and a symbolic general solution for both deterministic and...
This paper presents an e cient hardware algorithm for variable-precision logarithm. The algorithm uses an iterative te chnique that employs table lookups and polynomial approximat...
Javier Hormigo, Julio Villalba, Michael J. Schulte
In this paper we address the problem of analyzing and managing complex dynamic scenes captured in video. We present an approach to summarize video datasets by analyzing the trajec...
Anthony Stefanidis, Panos Partsinevelos, Peggy Ago...