Computer Vision Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition: by Petra Perner

By Petra Perner

This publication constitutes the refereed complaints of the eleventh foreign convention on desktop studying and knowledge Mining in development popularity, MLDM 2015, held in Hamburg, Germany in July 2015. The forty-one complete papers provided have been rigorously reviewed and chosen from 123 submissions. the themes variety from theoretical subject matters for category, clustering, organization rule and trend mining to precise information mining equipment for the several multimedia info varieties similar to picture mining, textual content mining, video mining and net mining.

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Extra info for Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings

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If the pair-wise distance between two nodes i and k, where i, k ∈ {1, . . , 18}, and i = k, for epoch t, given as dni,k , is less than a specified threshold, τ , then an edge is inserted into the graph between the two nodes. Note that smaller threshold values seek higher correlation between the electrodes, thereby yielding sparser graphs. Similarly, higher threshold values would establish an edge even if there is small correlation between the data, thereby yielding denser graphs. For our analysis, we performed a parametric search and found the best value of τ to be 1.

A thorough survey of the various linear and nonlinear features can be found in [23,25,57]. These features are usually calculated over epochs of predetermined time duration (around 20 s) via a moving window analysis. It has been found that univariate features, such as Lyapunov exponents, correlation dimension, and Hjorth parameters, calculated from the EEG recordings performed poorly as compared to bivariate and multivariate features [16,22,27,29,31,39,50]. This is understandable given that the seizure spreads to all the electrodes, whereas not all electrical activity in the brain may result in the onset of a seizure - it might be a localized discharge at a certain electrode.

Satellite image mining for census collection: a comparative study with respect to the ethiopian hinterland. In: Perner, P. ) MLDM 2013. LNCS, vol. 7988, pp. 260–274. Springer, Heidelberg (2013) 5. : Graph-Theoretic Techniques for Web Content Mining. World Scientific, Singapore (2005) Learning Heuristics to Reduce the Overestimation of Bipartite Graph 31 6. : Mining Graph Data. John Wiley and Sons, New York (2006) 7. : Graph matching and learning in pattern recognition in the last 10 years. IJPRAI 28(1), 1450001 (2014) 8.

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