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The blackboard model is a flexible problem-solving approach where the data and knowledge rules are strictly separated. The data generated during a problem resolution, from a problem statement to a solution through various stages of inferences, is centrally ...
In this paper, we present and investigate a new method for subband-based Automatic Speech Recognition (ASR) which approximates the ideal full combination' approach which is itself often not practical to realize. The full combination' approach consists of ...
There is a real need for methods to allow the measurement of the form and deformation of large objects. For example, for maintenance and production costs as well as for security. Even though there are many methods of measuring the form and deformation of s ...
An MLP classifier outputs a posterior probability for each class. With noisy data classification becomes less certain and the entropy of the posteriors distribution tends to increase, therefore providing a measure of classification confidence. However, at ...
In this paper we develop different mathematical models in the framework of the multi-stream paradigm for noise robust ASR, and discuss their close relationship with human speech perception. Largely inspired by Fletcher's "product-of-errors" rule in psychoa ...
The nature, purpose and assumptions of modeling are discussed. The concepts of "value" and "object" are assessed in this context. Their fundamental nature is compared and different uses are investigated. Various approaches are illustrated with comparative ...
In this paper we develop different mathematical models in the framework of the multi-stream paradigm for noise robust ASR, and discuss their close relationship with human speech perception. Largely inspired by Fletcher's "product-of-errors" rule in psychoa ...
A holographic setup that involves the use of a multicore optical fiber as an in situ recording medium has been developed. The hologram is transmitted to a CCD camera for electronic processing, and the image is reconstructed numerically, providing more flex ...
For the development and evaluation of methods for person identification, verification, and other tasks, databases play an important role. Despite this fact, there exists no measure whether a given database is sufficient to train and/or to test a given algo ...
This paper investigates the problems that arise when application requirements command that autonomous spatial databases be integrated into a federated one. The paper focuses on the most critical issues raised by the integration of databases of different sc ...
