الصفحة 3
الصفحة 3
Beyond the Worst-Case Analysis of Algorithms
There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.
Beginning JBoss Seam : From novice to professional
Reacting to the popularity of Java 2.0 Enterprise Edition™ alternatives such as Ruby on Rails and the enterprise Spring Framework, Red Hat JBoss®, Inc. developed JBoss® Seam, a new open-source lightweight Java™ EE 5-based contextual application development framework. Beginning JBoss® Seam: From Novice to Professional gets you started as the first book on this popular framework.
Bayesian networks and Influence diagrams : A guide to construction and analysis
Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty.
Balancing Agility and Formalism in Software Engineering ; 2nd IFIP TC 2 Central and East European Conference on Software Engineering Techniques, CEE-SET 2007, Poznan, Poland, October 10-12, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the Second IFIP TC 2 Central and East Conference on Software Engineering Techniques, CEE-SET 2007, held in Poznan, Poland, in October 2007.
Automatic Autocorrelation and Spectral Analysis
It takes advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data. Improved order selection quality guarantees that one of the best (and often the best) will be selected automatically. The data themselves suggest their best representation. Should the analyst wish to intervene, alternatives can be provided. Written for graduate signal processing students and for researchers and engineers using time series analysis for practical applications ranging from breakdown prevention in heavy machinery to measuring lung noise for medical diagnosis.
Alternative breast imaging : Four model-based approaches
Medical imaging has been transformed over the past 30 years by the advent of computerized tomography (CT), magnetic resonance imaging (MRI), and various advances in x-ray and ultrasonic techniques. An enabling force behind this progress has been the (so far) exponentially increasing power of computers, which has made it practical to explore fundamentally new approaches. In particular, what our group terms "model-based" modalities-which produce tissue property images from data using nonlinear, iterative numerical modeling techniques-have become increasingly feasible. Alternative Breast Imaging: Four Model-Based Approaches explores our research on four such modalities, particularly with regard to imaging of the breast: (1) MR elastography (MRE), (2) electrical impedance spectroscopy (EIS), (3) microwave imaging spectroscopy (MIS), and (4) near infrared spectroscopic imaging (NIS).
Algorithms and data structures ; 9th international workshop, WADS 2005, Waterloo, Canada, August 15-17, 2005, Proceedings
The papers in this volume were presented at the 9th Workshop on Algorithmsand Data Structures (WADS 2005). at the University of Waterloo, Waterloo, Canada. The workshopalternates with the Scandinavian Workshop on Algorithm Theory (SWAT), con-tinuing the tradition of SWAT and WADS starting with SWAT 1988 and WADS1989. From 90 submissions, the Program Committee selected 37 papers for pre-sentation at the workshop. includ Algorithm Analysis and Problem Complexity Data Structures Discrete Mathematics in Computer Science Computer Graphics Numeric Computing
AI voice dubbing = الدبلجة الصوتية بالذكاء الاصطناعي
The advent of artificial intelligence has revolutionized numerous domains, including media and entertainment. This project focuses on developing an AI Voice Dubbing application that facilitates the seamless dubbing of audio content from English to Arabic. Unlike traditional robotic voice outputs, our application ensures that the dubbed content retains the original voice characteristics, providing a natural and authentic listening experience. The system also offers users the option to select alternative output voices, including those of celebrities, or any other voice by uploading their media, providing a YouTube link, or recording audio directly. The core functionality of the application is to produce a dubbed audio file, maintaining high fidelity to the original speaker's voice tone and style, the application provides a text output of the dubbed content, which users can edit as needed to ensure accuracy and personal preference.
Advances in information retrieval ; Vol. 3936 : 28th European Conference on IR Research, ECIR 2006, London, UK, April 10-12, 2006, Proceedings
The These proceedings contain the refereed papers and posters presented at the 28 Annual European Conference on Information Retrieval (ECIR 2006), which was held at Imperial College London in South Kensington between April 10 and 12, 2006. ECIR is the annual conference of the British Computer Society’s Inf- mation Retrieval Specialist Group. The event started its life as a colloquium in 1978 and was held in the UK each year until 1998, when the event took place in Grenoble, France. Since then the venue has alternated between the UK and Continental Europe.
Advances in image enhancement
In the era of the internet of things, images have played important roles in human–computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques.
Advances in bioinformatics and computational biology ; 2nd Brazilian symposium on bioinformatics, BSB 2007, Angra dos Reis, Brazil, August 29-31, 2007, Proceedings
This book address a broad range of current topics in computationl biology and bioinformatics featuring original research in computer science, mathematics and statistics as well as in molecular biology, biochemistry, genetics, medicine, microbiology and other life sciences.
Advanced technique and future perspective for next generation optical fiber communications
Optical fiber communication industry has gained unprecedented opportunities and achieved rapid progress in recent years. However, with the increase of data transmission volume and the enhancement of transmission demand, the optical communication field still needs to be upgraded to better meet the challenges in the future development. Artificial intelligence technology in optical communication and optical network is still in its infancy, but the existing achievements show great application potential. In the future, with the further development of artificial intelligence technology, AI algorithms combining channel characteristics and physical properties will shine in optical communication. This reprint introduces some recent advances in optical fiber communication and optical network, and provides alternative directions for the development of the next generation optical fiber communication technology.
Accelerated SQL Server 2008
The expert tuition and approach to rapid learning in Accelerated SQL Server 2008, one of the first SQL Server 2008 books available, will enable SQL Server and other database professionals to make the leap to the 2008 release of Microsoft's flagship database management system quickly. Take full advantage of the features of SQL Server 2008, know what tools are available, and quickly realize the power and ease of use that SQL Server 2008 has to offer.
