Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions write by Roberto Corlito. This book was released on 2021-06-21. Analysis and comparison of similarity measures for validation of generative algorithms in the context of probability density functions available in PDF, EPUB and Kindle. About 3700 people die in traffic accidents every day. Human error is the number one cause of accidents. Autonomous driving can greatly reduce the occurrence of traffic accidents. To release self-driving cars for road traffic, the system including software must be validated and tested efficiently. However, due to their criticality, the amount of data corresponding to safety-critical driving scenarios are limited. These driving scenes can be expressed as a time series. They represent the corresponding movement of the vehicle, including time vector, position coordinates, speed and acceleration. Such data can be provided on different ways. For example, in the form of a kinematic model. Alternatively, artificial intelligence or machine learning methods can be used. They have been widely used in the development of autonomous vehicles. For example, generative algorithms can be used to generate such safety-critical driving data. However, the validation of generative algorithms is a challenge in general. In most cases, their quality is assessed by means of expert knowledge (qualitative). In order to achieve a higher degree of automation, a quantitative validation approach is necessary. Generative algorithms are based on probability distributions or probability density functions. Accordingly, similarity measures can be used to evaluate generative algorithms. In this publication, such similarity measures are described and compared on the basis of defined evaluation criteria. With respect to the use case mentioned, a recommended similarity measure is implemented and validated for an example of a typical safety-critical driving scenario.
Similarity-Based Pattern Analysis and Recognition
Similarity-Based Pattern Analysis and Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Similarity-Based Pattern Analysis and Recognition write by Marcello Pelillo. This book was released on 2016-09-17. Similarity-Based Pattern Analysis and Recognition available in PDF, EPUB and Kindle. 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.
Enhancing Similarity Measures with Imperfect Rule-based Background Knowledge
Enhancing Similarity Measures with Imperfect Rule-based Background Knowledge - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Enhancing Similarity Measures with Imperfect Rule-based Background Knowledge write by Timo Steffens. This book was released on 2006. Enhancing Similarity Measures with Imperfect Rule-based Background Knowledge available in PDF, EPUB and Kindle.
Similarity Search
Similarity Search - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Similarity Search write by Pavel Zezula. This book was released on 2006-06-07. Similarity Search available in PDF, EPUB and Kindle. The area of similarity searching is a very hot topic for both research and c- mercial applications. Current data processing applications use data with c- siderably less structure and much less precise queries than traditional database systems. Examples are multimedia data like images or videos that offer query by example search, product catalogs that provide users with preference based search, scientific data records from observations or experimental analyses such as biochemical and medical data, or XML documents that come from hetero- neous data sources on the Web or in intranets and thus does not exhibit a global schema. Such data can neither be ordered in a canonical manner nor meani- fully searched by precise database queries that would return exact matches. This novel situation is what has given rise to similarity searching, also - ferred to as content based or similarity retrieval. The most general approach to similarity search, still allowing construction of index structures, is modeled in metric space. In this book. Prof. Zezula and his co authors provide the first monograph on this topic, describing its theoretical background as well as the practical search tools of this innovative technology.
Similarity Search and Applications
Similarity Search and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Similarity Search and Applications write by Shin'ichi Satoh. This book was released on 2020-10-14. Similarity Search and Applications available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020. The conference was held virtually due to the COVID-19 pandemic. The 19 full papers presented together with 12 short and 2 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections named: scalable similarity search; similarity measures, search, and indexing; high-dimensional data and intrinsic dimensionality; clustering; artificial intelligence and similarity; demo and position papers; and doctoral symposium.
