Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities, Dimple Valayil Paul
Название: Numeral Classifiers and Classifier Languages ISBN: 1138054976 ISBN-13(EAN): 9781138054974 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focussing mainly on classifiers, Numeral Classifier and Classifier Languages offers a deep investigation of the three major classifier languages: Chinese, Japanese, and Korean. It provides detailed discussions well supported by empirical evidence and corpus analyses.
Описание: Vein-based biological systems are highly useful for identification purposes since they cannot be stolen, duplicated, or washed out. These systems present opportunities in networking and cloud-based and internet of things systems as a more specific and accurate method of identification. However, while the concept is novel, the execution remains imperfect, and the current techniques to drive positive identification must be honed before implementation.
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities is an essential publication that examines the design and development of new digital identification tools. Featuring coverage of a broad range of topics including performance evaluation, algorithms, and design architecture, this book is ideally designed for clinicians, healthcare providers, programmers, software developers, doctors, academicians, researchers, and students.
Автор: Michael Stauffer Название: Graph-Based Keyword Spotting ISBN: 9811206627 ISBN-13(EAN): 9789811206627 Издательство: World Scientific Publishing Рейтинг: Цена: 15840.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.
This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.
Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.
Автор: Johnson Michael Название: Paleo Hebrew Keyword Dictionary: Paleo Hebrew Dictionary ISBN: 195417103X ISBN-13(EAN): 9781954171039 Издательство: Неизвестно Цена: 43106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ahmed R. Mahmood, Walid G. Aref Название: Scalable Processing of Spatial-Keyword Queries ISBN: 1681734893 ISBN-13(EAN): 9781681734897 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10811.00 р. Наличие на складе: Нет в наличии.
Описание: Text data that is associated with location data has become ubiquitous. A tweet is an example of this type of data, where the text in a tweet is associated with the location where the tweet has been issued. We use the term spatial-keyword data to refer to this type of data. Spatial-keyword data is being generated at massive scale. Almost all online transactions have an associated spatial trace. The spatial trace is derived from GPS coordinates, IP addresses, or cell-phone-tower locations. Hundreds of millions or even billions of spatial keyword objects are being generated daily. Spatial-keyword data has numerous applications that require efficient processing and management of massive amounts of spatial-keyword data. This book starts by overviewing some important applications of spatial-keyword data, and demonstrates the scale at which spatial-keyword data is being generated. Then, it formalizes and classifies the various types of queries that execute over spatial-keyword data. Next, it discusses important and desirable properties of spatial-keyword query languages that are needed to express queries over spatial-keyword data. As will be illustrated, existing spatial-keyword query languages vary in the types of spatial-keyword queries that they can support. There are many systems that process spatial-keyword queries. Systems differ from each other in various aspects, e.g., whether the system is batch-oriented or stream-based, and whether the system is centralized or distributed. Moreover, spatial-keyword systems vary in the types of queries that they support. Finally, systems vary in the types of indexing techniques that they adopt. This book provides an overview of the main spatial-keyword data-management systems (SKDMSs), and classifies them according to their features. Moreover, the book describes the main approaches adopted when indexing spatial-keyword data in the centralized and distributed settings. Several case studies of {SKDMSs} are presented along with the applications and query types that these {SKDMSs} are targeted for and the indexing techniques they utilize for processing their queries. Optimizing the performance and the query processing of {SKDMSs} still has many research challenges and open problems. The book concludes with a discussion about several important and open research-problems in the domain of scalable spatial-keyword processing.
Описание: Presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms.
Автор: Jorge Cardoso; Francesco Guerra; Geert-Jan Houben; Название: Semantic Keyword-based Search on Structured Data Sources ISBN: 3319279319 ISBN-13(EAN): 9783319279312 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Recommending Web Pages using Item-based Collaborative Filtering Approaches.- Processing Keyword Queries under Access Limitations.- Balanced Large Scale Knowledge Matching Using LSH Forest.- Improving css-KNN Classification Performance by Shifts in Training Data. Classification using various ML Methods and Combinations of Key-Phrases and Visual Features.- Mining Workflow Repositories for Improving Fragments Reuse.- Agile DBLP: A Search-based Mobile Application for Structured Digital Libraries.- Support of Part-whole Relations in Query Answering.- Key-Phrases as Means to Estimate Birth and Death Years of Jewish Text Authors.- Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking.- Visualization of Uncertain Information in Tag Clouds.- Multimodal Image Retrieval Based on Keywords and Low-level Image Features.- Toward Optimized Multimodal Concept Indexing.- Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives.- Indexing of textual databases based on lexical resources: A case study for Serbian.- Domain-specific modeling: Towards a Food and Drink Gazetteer.- Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications.
Автор: Andrea Cal?; Dorian Gorgan; Mart?n Ugarte Название: Semantic Keyword-Based Search on Structured Data Sources ISBN: 3319536397 ISBN-13(EAN): 9783319536392 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016.
