The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Data products generated from remotely-sensed, geospatial imagery (RSI) used in emerging areas, such as global climatology, environmental monitoring, land use, and disaster managem...
The mobile robot localization problem is decomposed into two stages attitude estimation followed by position estimation. The innovation of our method is the use of a smoother, in ...
Stergios I. Roumeliotis, Gaurav S. Sukhatme, Georg...
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...