BACKGROUND A Kohonen topological map is an artificial intelligence system of the connectionist school (neural networks). The map learns the typical features of the subclasses in the learning set by means of a shortest Euclidean distance algorithm, after which self-adaptation of the neurons occurs. By its ability of self-organization and generalization, a Kohonen map is useful for pattern recogn...

Background. A Kohonen topological map is an artificial intelligence system of the connectionist school (neural networks). The map learns the typical features of the subclasses in the learning set by means of a shortest Euclidean distance algorithm, after which selfadaptation of the neurons occurs. By its ability of selforganization and generalization, a Kohonen map is useful for pattern recogni...

The stability and control of systems possessing passivity violations is considered. The authors seek to exploit the finite gain characteristics of a plant over a range in which a passive mapping no longer exists while implementing a similar hybrid passive and finite gain controller. Using the dissipative systems framework the authors define a hybrid system: one which possesses a passive map, an...

With advancements in computer and communication technologies, the production, utilization applications of digital images is at an unprecedented rate. Recent include military communications, remote sensing, novel engineering designs storage as well medical imaging. In most cases, such convey highly sensitive or confidential information, which creates a strong need for design secure robust color ...

In this paper, we develop an algorithm to compute underand over-approximations to the discrete dynamics of a hybrid automaton. We represent the approximations to the dynamics as sofic shifts, which can be generated by a discrete automaton. We restrict to two-dimensional systems, since these give rise to one-dimensional return maps, which are significantly easier to study. Given generic non-dege...

Hybrid Neural Network/Hidden Markov Model (NN/HMM) systems have been found to yield high quality phone recognition performance. One issue with modelling the Context Dependent (CD) NN/HMM is the robust estimation of the NN parameters to reliably predict the large number of CD state posteriors. Previously, factorization based on conditional probabilities has been commonly adopted to circumvent th...

Long-term visual localization in outdoor environment is a challenging problem, especially faced with the cross-seasonal, bi-directional tasks and changing environment. In this paper we propose a novel visual inertial localization framework that localizes against the LiDAR-built map. Based on the geometry information of the laser map, a hybrid bundle adjustment framework is proposed, which estim...

High-density whole-genome maps are essential for ordering genes or markers and aid in the assembly of genome sequence. To increase the density of markers on the bovine radiation hybrid map, and hence contribute to the assembly of the bovine genome sequence, an Illumina BeadStation was used to simultaneously type large numbers of markers on the Roslin-Cambridge 3000 rad bovine-hamster whole-geno...