By Luc De Raedt (auth.), Gerson Zaverucha, Augusto Loureiro da Costa (eds.)

ISBN-10: 3540881891

ISBN-13: 9783540881896

ISBN-10: 3540881905

ISBN-13: 9783540881902

This booklet constitutes the refereed complaints of the nineteenth Brazilian Symposium on man made Intelligence, SBIA 2008, held in Salvador, Brazil, in October 2008.

The 27 revised complete papers provided including three invited lectures and three tutorials have been conscientiously reviewed and chosen from 142 submissions. The papers are equipped in topical sections on laptop imaginative and prescient and trend popularity, dispensed AI: self reliant brokers, multi-agent platforms and online game wisdom illustration and reasoning, desktop studying and knowledge mining, usual language processing, and robotics.

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In: Time Warps, String Edits and Macro-molecules: The Theory and Practice of Sequence Comparison, pp. 125–161. Addison-Wesley, Reading (1983) 9. : Time Series Prediction Using Supervised Learning and Tools from Chaos Theory. PhD Thesis, University of Luton (1996) 10. : Nonlinear prediction of chaotic time series. Physica D Nonlinear Phenomena 35, 335–356 (1989) 11. : The fractal research and predicating on the times series of sunspot relative number. Applied Mathematics and Mechanics 20(1), 84– 89 (1999) 12.

Gondra Recently, automatic image labeling approaches [2,3,4] have been proposed as an attempt to improve the manual annotation of images. In [2], image recognition techniques are employed to automatically assign a limited number of descriptive keywords. This approach is limited by the fact that current image recognition methods are not completely reliable and, as a consequence, the assigned keywords have to be verified by a person. Other works such as [3] consider the textual context of images, in web pages, to automatically extract descriptive keywords (such as those that appear in captions).

In Section 3 we introduce the traditional and multi-dimensional DTW. Our approach (and its evolution) is described in section 4. Experimental results with a real data set are presented in Section 5. Finally, concluding remarks are given in Section 6. 2 Embedded and Separation Dimensions The occurrence of repeated patterns, in structured textures, has encouraged us to investigate a similarity measure which considers textures as series of events. From that, we decided to consider DTW, a technique that can measure the minimal distance between two series, by considering possible synchronization points.

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Advances in Artificial Intelligence - SBIA 2008: 19th Brazilian Symposium on Artificial Intelligence Savador, Brazil, October 26-30, 2008. Proceedings by Luc De Raedt (auth.), Gerson Zaverucha, Augusto Loureiro da Costa (eds.)


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