Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis PDF Author: S.G. Shaila
Publisher: Springer
ISBN: 9811325596
Category : Computers
Languages : en
Pages : 141

Get Book Here

Book Description
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.

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis PDF Author: S.G. Shaila
Publisher: Springer
ISBN: 9811325596
Category : Computers
Languages : en
Pages : 141

Get Book Here

Book Description
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

Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems PDF Author: Shubham Mahajan
Publisher: John Wiley & Sons
ISBN: 1394230923
Category : Computers
Languages : en
Pages : 372

Get Book Here

Book Description
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.

Information Retrieval with Verbose Queries

Information Retrieval with Verbose Queries PDF Author: Manish Gupta
Publisher:
ISBN: 9781680830446
Category : Computers
Languages : en
Pages : 170

Get Book Here

Book Description
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.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF Author: Petra Perner
Publisher: Springer
ISBN: 3540450653
Category : Computers
Languages : en
Pages : 452

Get Book Here

Book Description
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.

Advances in Web-Age Information Management

Advances in Web-Age Information Management PDF Author: Jeffrey Xu Yu
Publisher: Springer
ISBN: 3540352260
Category : Computers
Languages : en
Pages : 623

Get Book Here

Book Description
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.

Handbook of Multimedia Computing

Handbook of Multimedia Computing PDF Author: Borko Furht
Publisher: CRC Press
ISBN: 9780849318252
Category : Computers
Languages : en
Pages : 998

Get Book Here

Book Description
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.

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

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data PDF Author: Maosong Sun
Publisher: Springer
ISBN: 3319122770
Category : Computers
Languages : en
Pages : 328

Get Book Here

Book Description
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.

Experiment and Evaluation in Information Retrieval Models

Experiment and Evaluation in Information Retrieval Models PDF Author: K. Latha
Publisher: CRC Press
ISBN: 1315392615
Category : Computers
Languages : en
Pages : 303

Get Book Here

Book Description
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

Web-based Support Systems

Web-based Support Systems PDF Author: JingTao Yao
Publisher: Springer Science & Business Media
ISBN: 1848826281
Category : Computers
Languages : en
Pages : 448

Get Book Here

Book Description
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.

Introduction to Information Retrieval

Introduction to Information Retrieval PDF Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :

Get Book Here

Book Description
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.