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Computational Topology in Image Context - 4th International Workshop, CTIC 2012, Bertinoro, Italy, May 28-30, 2012, Proceedings... Computational Topology in Image Context - 4th International Workshop, CTIC 2012, Bertinoro, Italy, May 28-30, 2012, Proceedings (Paperback)
Massimo Ferri, Patrizio Frosini, Claudia Landi, Andrea Cerri, Barbara Di Fabio
R1,918 Discovery Miles 19 180 Ships in 10 - 15 working days

This book constitutes the proceedings of the 4th International Workshop on Computational Topology in Image Context, CTIC 2012, held in Bertinoro, Italy, in May 2012. The 16 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They focus on the topology and computation in image context. The workshop is devoted to computational methods using topology for the analysis and comparison of images. The involved research fields comprise computational topology and geometry, discrete topology and geometry, geometrical modeling, algebraic topology for image applications, and any other field involving a geometric-topological approach to image processing.

Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised... Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers (Paperback, 1st ed. 2017)
Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade
R1,539 Discovery Miles 15 390 Ships in 10 - 15 working days

The BIRS Workshop "Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets" (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of "hot topics" toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.

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