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Learning in Graphical Models
In the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of different points of view. There has been substantial progress in these different communities and surprising convergence has developed between the formalisms. The awareness of this convergence and the growing interest of researchers in understanding the essential unity of the subject underlies the current volume. Two research communities which have used graphical or network formalisms to particular advantage are the belief network community and the neural network community. Belief networks arose within computer science and statistics and...
Pattern Recognition
This book constitutes the refereed proceedings of the 39th German Conference on Pattern Recognition, GCPR 2017, held in Basel, Switzerland, in September 2017.The 33 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on biomedical image processing and analysis; classification and detection; computational photography; image and video processing; machine learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture; reconstruction and depth; and tracking.
ISMIR 2008
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Pattern Recognition
This book constitutes the refereed proceedings of the 34th Symposium of the German Association for Pattern Recognition, DAGM 2012, and the 36th Symposium of the Austrian Association for Pattern Recognition, OAGM 2012, held in Graz, Austria, in August 2012. The 27 revised full papers and 23 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on segmentation, low-level vision, 3D reconstruction, recognition, applications, learning, and features.
Learning Theory
This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems.
Compiler Construction
This book constitutes the refereed proceedings of the 14th International Conference on Compiler Construction, CC 2005, held in Edinburgh, UK in April 2005 as part of ETAPS. The 21 revised full papers presented together with the extended abstract of an invited paper were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on compilation, parallelism, memory management, program transformation, tool demonstrations, and pointer analysis.
Security Informatics and Terrorism: Patrolling the Web
This work is intended to be of interest to counter-terrorism experts and professionals, to academic researchers in information systems, computer science, political science and public policy, and to graduate students in these areas. The goal of this book is to highlight several aspects of patrolling the Web that were raised and discussed by experts from different disciplines. The book includes academic studies from related technical fields, namely, computer science and information technology, the strategic point of view as presented by intelligence experts, and finally the practical point of view by experts from related industry describing lessons learned from practical efforts to tackle these problems. This volume is organized into four major parts: definition and analysis of the subject, data-mining techniques for terrorism informatics, other theoretical methods to detect terrorists on the Web, and practical relevant industrial experience on patrolling the Web.
