By Abdelhamid Bouchachia (eds.)
This ebook constitutes the court cases of the foreign convention on Adaptive and clever platforms, ICAIS 2014, held in Bournemouth, united kingdom, in September 2014. the nineteen complete papers integrated in those complaints including the abstracts of four invited talks, have been rigorously reviewed and chosen from 32 submissions. The contributions are equipped less than the next topical sections: advances in function choice; clustering and class; adaptive optimization; advances in time sequence analysis.
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This booklet constitutes the complaints of the foreign convention on Adaptive and clever platforms, ICAIS 2014, held in Bournemouth, united kingdom, in September 2014. the nineteen complete papers incorporated in those court cases including the abstracts of four invited talks, have been conscientiously reviewed and chosen from 32 submissions.
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Additional info for Adaptive and Intelligent Systems: Third International Conference, ICAIS 2014, Bournemouth, UK, September 8-10, 2014. Proceedings
22 E. Epaillard, N. Bouguila, and D. Ziou Contributions of our work - In all these works, the dictionary size used goes from one hundred up to a few thousands words. Our main contributions are to show that a well-tailored classifier can achieve state-of-the-art results with a dictionary as small as of 10 visual-words leading to the most compact representation ever reported, and that HMMs with Dirichlet Mixtures model (HMMDM) can be efficiently used on real-world data. Furthermore, our original representation uses series of histograms and gives rise, for comparison with NN classification, to the need of a similarity measure for ordered multiple histograms.
In its current setting, our approach cannot appropriately handle dynamic data as the model’s parameters cannot evolve over time. g. video surveillance data). References 1. : Hidden Markov models for optical flow analysis in crowds. In: Proc. ICPR, pp. 460–463 (2006) 2. : Simultaneous structure and texture image inpainting. IEEE Transactions on Image Processing 12(8), 882–889 (2003) 3. : A hidden Markov model approach for appearancebased 3D object recognition. Pattern Recognition Letters 26(16), 2588–2599 (2005) 4.
Rank statistics of order 3 and 5 show that most of time, even when not well-classified, the likelihood of the query with respect to its ground truth class is high. Introduction of a prior might help to improve the performance of the HMMDM classifier. For instance, we did not take advantage of the information about SIFT density extracted at the first clustering level while it varies a lot depending on the texture class and could thus provide a valuable clue. Our proposed patch-translation robust Bhattacharyya distance (BD2) systematically improves the results of NN classification with respect to a simpler generalization (BD1) and gives acceptable accuracy on the UMD data set despite its simplicity.
Adaptive and Intelligent Systems: Third International Conference, ICAIS 2014, Bournemouth, UK, September 8-10, 2014. Proceedings by Abdelhamid Bouchachia (eds.)