Temporal context: a robust mechanism for flexible behavior in non-stationary environments

A robust and flexible model of hierarchical self-organizing maps for non-stationary environments

In this paper we extend the Hierarchical Self Organizing Maps model (HSOM ) to address the problem of learning topological drift under non stationary and noisy environments. The new model combines the capabilities of robustness against noise and, at the same time, the flexibility to adapt to the changing environment. We call this model RoFlex-HSOM. The RoFlex-HSOM model consists in a hierarchic...

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

A Framework to Integrate Particle Filters for Robust Tracking in Non-stationary Environments

In this paper we propose a new framework to integrate several particle filters, in order to obtain a robust tracking system able to cope with abrupt changes of illumination and position of the target. The proposed method is analytically justified and allows to build a tracking procedure that adapts online and simultaneously the colorspace where the image points are represented, the color distri...

Learning in Non-stationary Environments

A robust isolated word recognizer for highly non-stationary environments. recognition results

Through the present paper, the evaluation results of a Speaker Independent Robust-to-Noise Isolated Word Recognizer are presented. The system, which is in part the results achieved by the project IVORY (ESPRIT project No. 20277) [6], is intended for working in highly non-stationary environments. The system comprises two main modules: the Noise Cancellator and the Speech Recognizer itself. Syste...