Generative Analysis
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Similarity-Based Pattern Analysis and Recognition
Author: Marcello Pelillo
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-11-26
This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a “kernel tailoring” approach and a strategy for learning similarities directly from training data; describes various methods for “structure-preserving” embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imaging applications.
Data Collection and Analysis in Scientific Qualitative Research
Scientific discovery is always built on the foundation of sound data and research. Emerging advancements of technologies and strategies are revolutionizing the way we gather and interpret data. These advancements are not only enhancing the efficiency and accuracy of data collection and analysis but are also opening up new possibilities for scientific research and discovery. To continue building progress in such fields, a strong knowledge of collecting and analyzing useable volumes of information is essential. Data Collection and Analysis in Scientific Qualitative Research discusses the integration of qualitative analysis into academic research and empirical projects. Balanced between application and theory, the text covers the latest technological, organizational, and methodological developments in qualitative research. Coving topics such as qualitative research, ethics, and generative AI, this book is an essential resource for scientists, academicians, researchers, educators, and more.
Image Analysis
This book constitutes the refereed proceedings of the 19th Scandinavian Conference on Image Analysis, SCIA 2015, held in Copenhagen, Denmark, in June 2015. The 45 revised papers presented were carefully reviewed and selected from 67 submissions. The contributions are structured in topical sections on novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision to medical and biomedical image analysis.