Applications and Innovations in Intelligent Systems XVI: by Ted Scully, Kenneth N. Brown (auth.), Tony Allen BA, MSc,

By Ted Scully, Kenneth N. Brown (auth.), Tony Allen BA, MSc, PhD, Richard Ellis BSc, MSc, Miltos Petridis DipEng, MBA, PhD, MBCS, AMBA (eds.)

The papers during this quantity are the refereed software papers provided at AI-2008, the Twenty-eighth SGAI overseas convention on leading edge concepts and purposes of synthetic Intelligence, held in Cambridge in December 2008.

They current new and leading edge purposes of man-made intelligence throughout a variety of domain names; divided into sections on desktop studying, internet applied sciences, clever platforms and AI in well-being Care. the quantity additionally contains the textual content of brief papers provided as posters on the conference.

This is the 16th quantity within the software and options sequence, which bargains an annual image of the newest purposes of man-made intelligence throughout undefined, trade, schooling and executive.

The Technical move papers are released as a significant other quantity less than the name examine and improvement in clever platforms XXV.

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Extra resources for Applications and Innovations in Intelligent Systems XVI: Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

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Proposed classifiers were tested not only on the shape and texture recognition problems but also on the other problems. It gives good results in comparison with other classifiers in handwritten (MNIST database) and face recognition (ORL database) (result was one of the five best classifiers in the world) [12]-[14]. In this paper we propose to combine two subsystems based on neural classifiers into one computer vision system. This method to combine two classifiers gives us opportunity to resolve the recognition problem in manufacturing of micro workpieces more efficiently.

00 GB of RAM. This allows the recognition of swallowing instances in sound streams to be performed with the highest recognition rate on a personal computer in a real-time. We attribute the higher accuracy achieved in classification of CWT data to the tiling of the resolution. Time-frequency resolution of STFT is constant which results in the uniform tiling of time-frequency plane with a rectangular cell of fixed dimensions. For CWT the time-frequency resolution varies according to the frequency of interest.

16. : Surface inspection using texture recognition, Proceedings of the 12th IAPR international conference on pattern recognition, Israel, pp. 589-591 (1994). 17. 24, pp. 1503-1511 (2003). 18. : Neural network classification of metal surface properties using a dynamic touch sensor. Proceedings of the international joint conference on neural networks, Seattle, pp. 189-194 (1991) 19. : Principles of neurodynamics, Spartan books, New York (1962). Neuman4 Abstract In this paper we propose a novel swallowing sound recognition technique based on the limited receptive area (LIRA) neural classifier and timefrequency decomposition.

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