الصفحة 3
الصفحة 3
Advances in Image and Video Technology ; 1st Pacific Rim Symposium, PSIVT 2006, Hsinchu, Taiwan, December 10-13, 2006, Proceedings
The conference of the 1st IEEE Pacisc-Rim Symposium on Image and Video Technology (PSIVT 2006) was held at Hsinchu, Taiwan, Republic of China, on December 11–13, 2006. This volume contains papers selected for presentation at this conference. The aim of this conference was to bring together theoretical advances and practical implementations contributing to, or being involved in, image and video technology. PSIVT 2006 featured a comprehensive program including tutorials, keynote and invited talks, oral paper presentations, and posters. We received 450 s- missions from 22 countries and accepted 141 papers among those (i.e., de?ning an acceptance rate of 31.3%). The intention was to establish PSIVT as a t- quality series of symposia. Decisions were discult sometimes, but we hope that the ?nal result is acceptable to all involved.
Advances in biometrics ; International conference, ICB 2006, Hong Kong, China, January 5-7, 2006, Proceedings
Biometrics has emerged as a reliable person identification method that can over-come some of the limitations of the traditional automatic personal identificationmethods. With significant advances in biometric technology and a correspondingincrease in the number of applications incorporating biometrics, it is essentialthat we bring together researchers from academia and industry as well as practi-tioners to share ideas, problems and solutions for the development and successfuldeployment of state-of-the-art biometric systems.The International Conference on Biometrics (ICB 2006) followed the success-ful International Conference on Biometric Authentication (ICBA 2004) to facil-itate this interaction. ICB 2006 received a large number of high-quality researchpapers. After a careful review of 192 submissions, 104 papers were acceptedfor presentation.
Advances in Big Data Analytics : Theory, Algorithms and Practices
Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.
Adaptive and Natural Computing Algorithms ; 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I
Constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions. The 94 papers of the first volume are organized in topical sections on evolutionary computation, genetic algorithms, particle swarm optimization, learning, optimization and games, fuzzy and rough systems, just as classification and clustering. The second volume contains 84 contributions related to neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision, as well as to control and robotics.
Active mining ; 2nd International workshop, AM 2003, Maebashi, Japan, October 28, 2003, revised selected papers
"This volume contains the papers selected for presentation at the 2nd Inter- tional Workshop on Active Mining (AM 2003) which was organized in conju- tion with the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS 2003), The workshop was organized by the Maebashi Institute of Technology for shed light on the future development of active mining. "This volume contains : Topics Database Management / Artificial Intelligence / Algorithm Analysis and Problem Complexity / Health Informatics / Bioinformatics
A Matrix Algebra Approach to Artificial Intelligence
The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines
