Similarity Search and Applications, St?phane Marchand-Maillet; Yasin N. Silva; Edgar C
Автор: Edwin Hancock; Marcello Pelillo Название: Similarity-Based Pattern Recognition ISBN: 3642391397 ISBN-13(EAN): 9783642391392 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013.
Автор: Amsaleg Название: Similarity Search and Applications ISBN: 3319467581 ISBN-13(EAN): 9783319467580 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in October 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. and scalable similarity search.
Автор: Christian Beecks; Felix Borutta; Peer Kr?ger; Thom Название: Similarity Search and Applications ISBN: 3319684736 ISBN-13(EAN): 9783319684734 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 10th International Conference on Similarity Search and Applications, SISAP 2017, held in Munich, Germany, in October 2017. The 23 full papers presented were carefully reviewed and selected from 53 submissions.
Автор: Giuseppe Amato; Richard Connor; Fabrizio Falchi; C Название: Similarity Search and Applications ISBN: 3319250868 ISBN-13(EAN): 9783319250861 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 8th International Conference on Similarity Search and Applications, SISAP 2015, held in Glasgow, UK, in October 2015. The 19 full papers, 12 short and 9 demo and poster papers presented in this volume were carefully reviewed and selected from 68 submissions. demo papers.
Автор: Giuseppe Amato; Claudio Gennaro; Vincent Oria; Mil Название: Similarity Search and Applications ISBN: 3030320464 ISBN-13(EAN): 9783030320461 Издательство: Springer Рейтинг: Цена: 9222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019. The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected from 42 submissions.
Автор: Deepak P; Prasad M. Deshpande Название: Operators for Similarity Search ISBN: 3319212567 ISBN-13(EAN): 9783319212562 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors systematically survey the set of similarity operators, primarily focusing on their semantics, while also touching upon mechanisms for processing them effectively.The book starts off by providing introductory material on similarity search systems, highlighting the central role of similarity operators in such systems.
Автор: Thomas Villmann; M. Biehl; Barbara Hammer; Michel Название: Similarity-Based Clustering ISBN: 3642018041 ISBN-13(EAN): 9783642018046 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent Developments and Biomedical Applications. .
Автор: Knees Название: Music Similarity and Retrieval ISBN: 3662497204 ISBN-13(EAN): 9783662497203 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book providesa summary of the manifold audio- and web-based approaches to music informationretrieval (MIR) research. In contrast to other books dealing solely with musicsignal processing, it addresses additional cultural and listener-centric aspectsand thus provides a more holistic view. Consequently, the text includes methodsoperating on features extracted directly from the audio signal, as well asmethods operating on features extracted from contextual information, either thecultural context of music as represented on the web or the user and usagecontext of music.Followingthe prevalent document-centered paradigm of information retrieval, the bookaddresses models of music similarity that extract computational features todescribe an entity that represents music on any level (e.g., song, album, orartist), and methods to calculate the similarity between them. While thisperspective and the representations discussed cannot describe all musicaldimensions, they enable us to effectively find music of similar qualities byproviding abstract summarizations of musical artifacts from differentmodalities. The text athand provides a comprehensive and accessible introduction to the topics ofmusic search, retrieval, and recommendation from an academic perspective. Itwill not only allow those new to the field to quickly access MIR from aninformation retrieval point of view but also raise awareness for thedevelopments of the music domain within the greater IR community. In thisregard, Part I deals with content-based MIR, in particular the extraction offeatures from the music signal and similarity calculation for content-basedretrieval. Part II subsequently addresses MIR methods that make use of thedigitally accessible cultural context of music. Part III addresses methods of collaborativefiltering and user-aware and multi-modal retrieval, while Part IV explorescurrent and future applications of music retrieval and recommendation.>
Автор: Aasa Feragen; Marcello Pelillo; Marco Loog Название: Similarity-Based Pattern Recognition ISBN: 3319242601 ISBN-13(EAN): 9783319242606 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015.
Автор: P.M. Dean Название: Molecular Similarity in Drug Design ISBN: 9401045895 ISBN-13(EAN): 9789401045896 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Molecular similarity searching is fast becoming a key tool in organic chemistry. The chapters focus principally on those methods which have reached sufficient maturity to be of immediate practical use in molecular design.
Автор: Lijuan Li; Feng Liu Название: Group Search Optimization for Applications in Structural Design ISBN: 3642268471 ISBN-13(EAN): 9783642268472 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by leading experts, this book contains recent research on group search optimization with applications in structural design. It details the latest research work related with particle swarm optimizer algorithm and group search optimizer algorithm.
Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.
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