Textual And Visual Information Retrieval Using Query Refinement And Pattern Analysis

Download Textual And Visual Information Retrieval Using Query Refinement And Pattern Analysis full books in PDF, epub, and Kindle. Read online Textual And Visual Information Retrieval Using Query Refinement And Pattern Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Author : S.G. Shaila
Publisher : Springer
ISBN 13 : 9811325596
Total Pages : 141 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis by : S.G. Shaila

Download or read book Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis written by S.G. Shaila and published by Springer. This book was released on 2018-09-29 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.

Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

Author : Shubham Mahajan
Publisher : John Wiley & Sons
ISBN 13 : 1394230923
Total Pages : 372 pages
Book Rating : 4.3/5 (942 download)

DOWNLOAD NOW!

Book Synopsis Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems by : Shubham Mahajan

Download or read book Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems written by Shubham Mahajan and published by John Wiley & Sons. This book was released on 2024-08-27 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine learning in image processing and computer vision. Researchers are working to create new algorithms that combine the methods provided by CI approaches to solve the problems of image processing and computer vision such as image size, noise, illumination, and security. The 19 chapters in this book examine computational intelligence (CI) approaches as alternative solutions for automatic computer vision and image processing systems in a wide range of applications, using machine learning and soft computing. Applications highlighted in the book include: diagnostic and therapeutic techniques for ischemic stroke, object detection, tracking face detection and recognition; computational-based strategies for drug repositioning and improving performance with feature selection, extraction, and learning; methods capable of retrieving photometric and geometric transformed images; concepts of trading the cryptocurrency market based on smart price action strategies; comparative evaluation and prediction of exoplanets using machine learning methods; the risk of using failure rate with the help of MTTF and MTBF to calculate reliability; a detailed description of various techniques using edge detection algorithms; machine learning in smart houses; the strengths and limitations of swarm intelligence and computation; how to use bidirectional LSTM for heart arrhythmia detection; a comprehensive study of content-based image-retrieval techniques for feature extraction; machine learning approaches to understanding angiogenesis; handwritten image enhancement based on neutroscopic-fuzzy. Audience The book has been designed for researchers, engineers, graduate, and post-graduate students wanting to learn more about the theoretical and application aspects of soft computing and machine learning in image processing and computer vision.

Introduction to Information Retrieval

Author : Christopher D. Manning
Publisher : Cambridge University Press
ISBN 13 : 1139472100
Total Pages : pages
Book Rating : 4.1/5 (394 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning

Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Visual Information Retrieval using Java and LIRE

Author : Mathias Lux
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627051945
Total Pages : 115 pages
Book Rating : 4.6/5 (27 download)

DOWNLOAD NOW!

Book Synopsis Visual Information Retrieval using Java and LIRE by : Mathias Lux

Download or read book Visual Information Retrieval using Java and LIRE written by Mathias Lux and published by Morgan & Claypool Publishers. This book was released on 2013-01-01 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual information retrieval (VIR) is an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and retrieving visual information (images and videos) from large, unstructured repositories. The goal of VIR is to retrieve matches ranked by their relevance to a given query, which is often expressed as an example image and/or a series of keywords. During its early years (1995-2000), the research efforts were dominated by content-based approaches contributed primarily by the image and video processing community. During the past decade, it was widely recognized that the challenges imposed by the lack of coincidence between an image's visual contents and its semantic interpretation, also known as semantic gap, required a clever use of textual metadata (in addition to information extracted from the image's pixel contents) to make image and video retrieval solutions efficient and effective. The need to bridge (or at least narrow) the semantic gap has been one of the driving forces behind current VIR research. Additionally, other related research problems and market opportunities have started to emerge, offering a broad range of exciting problems for computer scientists and engineers to work on. In this introductory book, we focus on a subset of VIR problems where the media consists of images, and the indexing and retrieval methods are based on the pixel contents of those images -- an approach known as content-based image retrieval (CBIR). We present an implementation-oriented overview of CBIR concepts, techniques, algorithms, and figures of merit. Most chapters are supported by examples written in Java, using Lucene (an open-source Java-based indexing and search implementation) and LIRE (Lucene Image REtrieval), an open-source Java-based library for CBIR.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
ISBN 13 : 3540450653
Total Pages : 452 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Data Mining in Pattern Recognition by : Petra Perner

Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer. This book was released on 2003-08-02 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

Information Retrieval with Verbose Queries

Author : Manish Gupta
Publisher :
ISBN 13 : 9781680830446
Total Pages : 170 pages
Book Rating : 4.8/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Information Retrieval with Verbose Queries by : Manish Gupta

Download or read book Information Retrieval with Verbose Queries written by Manish Gupta and published by . This book was released on 2015-07-31 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first monograph to provide a coherent and organized survey on this topic. It puts together the various research pieces of the puzzle, provides a comprehensive and structured overview of diverse proposed methods, and lists several application scenarios where effective verbose query processing can make a significant difference.

Natural Language and Information Systems

Author : Epaminondas Kapetanios
Publisher : Springer
ISBN 13 : 3540698582
Total Pages : 387 pages
Book Rating : 4.5/5 (46 download)

DOWNLOAD NOW!

Book Synopsis Natural Language and Information Systems by : Epaminondas Kapetanios

Download or read book Natural Language and Information Systems written by Epaminondas Kapetanios and published by Springer. This book was released on 2008-06-25 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, held in London, UK, in June 2008. The 31 revised full papers and 14 revised poster papers presented together with 3 invited talks and 4 papers of the NLDB 2008 doctoral symposium were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on natural language processing and understanding, conceptual modelling and ontologies, information retrieval, querying and question answering, document processing and text mining, software (requirements) engineering and specification.

A Feature-Centric View of Information Retrieval

Author : Donald Metzler
Publisher : Springer Science & Business Media
ISBN 13 : 3642228984
Total Pages : 174 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis A Feature-Centric View of Information Retrieval by : Donald Metzler

Download or read book A Feature-Centric View of Information Retrieval written by Donald Metzler and published by Springer Science & Business Media. This book was released on 2011-09-18 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Commercial Web search engines such as Google, Yahoo, and Bing are used every day by millions of people across the globe. With their ever-growing refinement and usage, it has become increasingly difficult for academic researchers to keep up with the collection sizes and other critical research issues related to Web search, which has created a divide between the information retrieval research being done within academia and industry. Such large collections pose a new set of challenges for information retrieval researchers. In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. The Markov random field model he details goes beyond the traditional yet ill-suited bag of words assumption in two ways. First, the model can easily exploit various types of dependencies that exist between query terms, eliminating the term independence assumption that often accompanies bag of words models. Second, arbitrary textual or non-textual features can be used within the model. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model. In addition, he describes several extensions, such as an automatic feature selection algorithm and a query expansion framework. The resulting model and extensions provide a flexible framework for highly effective retrieval across a wide range of tasks and data sets. A Feature-Centric View of Information Retrieval provides graduate students, as well as academic and industrial researchers in the fields of information retrieval and Web search with a modern perspective on information retrieval modeling and Web searches.

Handbook of Multimedia Computing

Author : Borko Furht
Publisher : CRC Press
ISBN 13 : 9780849318252
Total Pages : 998 pages
Book Rating : 4.3/5 (182 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Multimedia Computing by : Borko Furht

Download or read book Handbook of Multimedia Computing written by Borko Furht and published by CRC Press. This book was released on 1998-09-29 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia computing has emerged as a major area of research. Coupled with high-speed networks, multimedia computer systems have opened a spectrum of new applications by combining a variety of information sources, such as voice, graphics, animation, images, audio, and video. Handbook on Multimedia Computing provides a comprehensive resource on advanced topics in this field, considered here as the integration of four industries: computer, communication, broadcasting/entertainment, and consumer electronics. This indispensable reference compiles contributions from 80 academic and industry leaders, examining all the major subsets of multimedia activity. Four parts divide the text: Basic Concepts and Standards introduces basic multimedia terminology, taxonomy, and concepts, including multimedia objects, user interfaces, and standards Multimedia Retrieval and Processing Techniques addresses various aspects of audio, image, and video retrieval; indexing; and processing techniques and systems Multimedia Systems and Techniques covers critical multimedia issues, such as multimedia synchronization, operating systems for multimedia, multimedia databases, storage organizations, and processor architectures Multimedia Communications and Networking discusses networking issues, such as quality of service, resource management, and video transport An indispensable reference, Handbook on Multimedia Computing covers every aspect of multimedia applications and technology. It gives you the tools you need to understand and work in this fast-paced, continuously changing field.

Advances in Web-Age Information Management

Author : Jeffrey Xu Yu
Publisher : Springer
ISBN 13 : 3540352260
Total Pages : 623 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Advances in Web-Age Information Management by : Jeffrey Xu Yu

Download or read book Advances in Web-Age Information Management written by Jeffrey Xu Yu and published by Springer. This book was released on 2006-06-15 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Web-Age Information Management, WAIM 2006, held in Hong Kong, June 2006. The book presents 50 revised full papers, organized in topical sections on indexing, XML query processing, information retrieval, sensor networks and grid computing, peer-to-peer systems, Web services, Web searching, temporal database, clustering, clustering and classification, data mining, data stream processing, XML and semistructured data, and more.

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Author : Maosong Sun
Publisher : Springer
ISBN 13 : 3319122770
Total Pages : 328 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data by : Maosong Sun

Download or read book Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data written by Maosong Sun and published by Springer. This book was released on 2014-09-19 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th China National Conference on Computational Linguistics, CCL 2014, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2014, held in Wuhan, China, in October 2014. The 27 papers presented were carefully reviewed and selected from 233 submissions. The papers are organized in topical sections on word segmentation; syntactic analysis and parsing the Web; semantics; discourse, coreference and pragmatics; textual entailment; language resources and annotation; sentiment analysis, opinion mining and text classification; large‐scale knowledge acquisition and reasoning; text mining, open IE and machine reading of the Web; machine translation; multilinguality in NLP; underresourced languages processing; NLP applications.

Document Analysis Systems II

Author : Jonathan J. Hull
Publisher : World Scientific
ISBN 13 : 9789810231033
Total Pages : 542 pages
Book Rating : 4.2/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Document Analysis Systems II by : Jonathan J. Hull

Download or read book Document Analysis Systems II written by Jonathan J. Hull and published by World Scientific. This book was released on 1998 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the state of the art in research and development of systems for document image analysis. Topics covered include a variety of systems and architectures for processing document images as well as methods for converting those images into formats that can be manipulated by a computer. The chapters are written by recognized experts in the field and describe Systems and Architectures, Recognition Techniques, Graphics Analysis, Document Image Retrieval, and World Wide Web Applications.

Experiment and Evaluation in Information Retrieval Models

Author : K. Latha
Publisher : CRC Press
ISBN 13 : 1315392615
Total Pages : 282 pages
Book Rating : 4.3/5 (153 download)

DOWNLOAD NOW!

Book Synopsis Experiment and Evaluation in Information Retrieval Models by : K. Latha

Download or read book Experiment and Evaluation in Information Retrieval Models written by K. Latha and published by CRC Press. This book was released on 2017-07-28 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to the field of information retrieval (IR). As well as examining existing approaches to resolving some of the problems in this field, results obtained by researchers are critically evaluated in order to give readers a clear view of the topic. In addition, this book covers Algorithmic Solutions to the Problems in Advanced IR Concepts, including Feature Selection for Document Ranking, web page classification and recommendation, Facet Generation for Document Retrieval, Duplication Detection and seeker satisfaction in question answering community Portals. Written with students and researchers in the field on information retrieval in mind, this book is also a useful tool for researchers in the natural and social sciences interested in the latest developments in the fast-moving subject area. Key features: Focusing on recent topics in Information Retrieval research, Experiment and Evaluation in Information Retrieval Models explores the following topics in detail: Searching in social media Using semantic annotations Ranking documents based on Facets Evaluating IR systems offline and online The role of evolutionary computation in IR Document and term clustering, Image retrieval Design of user profiles for IR Web page classification and recommendation Relevance feedback approach for Document and image retrieval

Graph Embedding for Pattern Analysis

Author : Yun Fu
Publisher : Springer Science & Business Media
ISBN 13 : 1461444578
Total Pages : 264 pages
Book Rating : 4.4/5 (614 download)

DOWNLOAD NOW!

Book Synopsis Graph Embedding for Pattern Analysis by : Yun Fu

Download or read book Graph Embedding for Pattern Analysis written by Yun Fu and published by Springer Science & Business Media. This book was released on 2012-11-19 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.

Web-based Support Systems

Author : JingTao Yao
Publisher : Springer Science & Business Media
ISBN 13 : 1848826281
Total Pages : 448 pages
Book Rating : 4.8/5 (488 download)

DOWNLOAD NOW!

Book Synopsis Web-based Support Systems by : JingTao Yao

Download or read book Web-based Support Systems written by JingTao Yao and published by Springer Science & Business Media. This book was released on 2010-03-02 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Web-based Support Systems (WSS) are an emerging multidisciplinary research area in which one studies the support of human activities with the Web as the common platform,mediumandinterface.TheInternetaffectseveryaspectofourmodernlife. Moving support systems to online is an increasing trend in many research domains. One of the goals of WSS research is to extend the human physical limitation of information processing in the information age. Research on WSS is motivated by the challenges and opportunities arising from the Internet. The availability, accessibility and ?exibility of information as well as the tools to access this information lead to a vast amount of opportunities. H- ever, there are also many challenges we face. For instance, we have to deal with more complex tasks, as there are increasing demands for quality and productivity. WSS research is a natural evolution of the studies on various computerized support systems such as Decision Support Systems (DSS), Computer Aided Design (CAD), and Computer Aided Software Engineering (CASE). The recent advancement of computer and Web technologies make the implementation of more feasible WSS. Nowadays, it is rare to see a system without some type of Web interaction. The research of WSS is classi?ed into four groups. • WSS for speci?c domains.

Advances in Information Retrieval

Author : W. Bruce Croft
Publisher : Springer Science & Business Media
ISBN 13 : 0306470195
Total Pages : 318 pages
Book Rating : 4.3/5 (64 download)

DOWNLOAD NOW!

Book Synopsis Advances in Information Retrieval by : W. Bruce Croft

Download or read book Advances in Information Retrieval written by W. Bruce Croft and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department ofthe University ofMassachusetts, Amherst in 1992. The core support for the Center came from a National Science Foun- tion State/Industry/University Cooperative Research Center(S/IUCRC) grant, although there had been a sizeable information retrieval (IR) research group for over 10 years prior to that grant. Thebasic goal ofthese Centers is to combine basic research, applied research, and technology transfer. The CIIR has been successful in each of these areas, in that it has produced over 270 research papers, has been involved in many successful government and industry collaborations, and has had a significant role in high-visibility Internet sites and start-ups. As a result of these efforts, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed, text and multimedia databases. The scope of the work that is done in the CIIR is broad and goes significantly beyond “traditional” areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. The research includes both low-level systems issues such as the design of protocols and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval.

Advances in Information Retrieval

Author : Pavel Serdyukov
Publisher : Springer
ISBN 13 : 3642369731
Total Pages : 919 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Advances in Information Retrieval by : Pavel Serdyukov

Download or read book Advances in Information Retrieval written by Pavel Serdyukov and published by Springer. This book was released on 2013-03-12 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 35th European Conference on IR Research, ECIR 2013, held in Moscow, Russia, in March 2013. The 55 full papers, 38 poster papers and 10 demonstrations presented in this volume were carefully reviewed and selected from 287 submissions. The papers are organized in the following topical sections: user aspects; multimedia and cross-media IR; data mining; IR theory and formal models; IR system architectures; classification; Web; event detection; temporal IR, and microblog search. Also included are 4 tutorial and 2 workshop presentations.