الصفحة 1
الصفحة 1
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Information Processing with Evolutionary Algorithms : From Industrial Applications to Academic Speculations

The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing. The lines that draw the boundaries among statistics, optimization, arti cial intelligence and information processing are disappearing, and it is not uncommon to nd well-founded and sophisticated mathematical approaches in application - mains traditionally associated with ad-hoc programming. Heuristics has - come a branch of optimization and statistics. Clustering is applied to analyze soft data and to provide fast indexing in the World Wide Web. Non-trivial matrix algebra is at the heart of the last advances in computer vision. The breakthrough impulse was, apparently, due to the rise of the interest in arti cial neural networks, after its rediscovery in the late 1980s. Disguised as ANN, numerical and statistical methods made an appearance in the - formation processing scene, and others followed. A key component in many intelligent computational processing is the search for an optimal value of some function. Sometimes, this function is not evident and it must be made explicit in order to formulate the problem as an optimization problem. The search - ten takes place in high-dimensional spaces that can be either discrete, or c- tinuous or mixed. The shape of the high-dimensional surface that corresponds to the optimized function is usually very complex. Evolutionary algorithms are increasingly being applied to information processing applications that require any kind of optimization.

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Graph drawing ; Vol. 3843 ; 13 th International symposium, GD 2005, Limerick, Ireland, September 12-14, 2005, Revised Papers

The 13th International Symposium on Graph Drawing (GD 2005) was held in Limerick, Ireland, September 12-14, 2005. One hundred and ?fteen participants from 19 countries attended GD 2005. In response to the call for papers the Program Committee received 101 subm- sions, each detailing original research or a system demonstration. Each submission was reviewed by at least three Program Committee members; each referee’s c- ments were returned to the authors. Following extensive discussions, the comm- tee accepted 38 long papers, 3 short papers and 3 long system demos, each of which were presented during one of the conference’s 12 sessions. Eight posters were also accepted and were on display throughout the conference.

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Generalized Curvatures

The central object of this book is the measure of geometric quantities describing N a subset of the Euclidean space (E ,), endowed with its standard scalar product. Let us state precisely what we mean by a geometric quantity. Consider a subset N S of points of the N-dimensional Euclidean space E , endowed with its standard N scalar product. LetG be the group of rigid motions of E . We say that a 0 quantity Q(S) associated toS is geometric with respect toG if the corresponding 0 quantity Q[g(S)] associated to g(S) equals Q(S), for all g?G . For instance, the 0 diameter ofS and the area of the convex hull ofS are quantities geometric with respect toG . But the distance from the origin O to the closest point ofS is not, 0 since it is not invariant under translations ofS. It is important to point out that the property of being geometric depends on the chosen group. For instance, ifG is the 1 N group of projective transformations of E , then the property ofS being a circle is geometric forG but not forG , while the property of being a conic or a straight 0 1 line is geometric for bothG andG . This point of view may be generalized to any 0 1 subsetS of any vector space E endowed with a groupG acting on it.

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Effective Computational Geometry for Curves and Surfaces

Computational geometry emerged as a discipline in the seventies and has had considerable success in improving the asymptotic complexity of the solutions to basic geometric problems including constructions of data structures,convex hulls, triangulations, Voronoi diagrams and geometric arrangements as well as geometric optimisation. The goal of this book is to take into consideration the multidisciplinary nature of the problem and to provide solid mathematical and algorithmic foundations for effiective computational geometry fo rcurves and surfaces. This book covers two main approaches. In a first part, we discuss exact geometric algorithms for curves and s- faces. We revisit two prominent data structures of computational geometry, namely arrangements (Chap. 1) and Voronoi diagrams (Chap. 2) in order to understand how these structures, which are well-known for linear objects, behave when de?ned on curved objects.

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Digital Photogrammetry : A Practical Course

The main part of the book contains several tutorials. In increasing complexity, accompanied by texts explaining further theory, the reader can proceed step by step through the particular working parts. Most of the standard work in Digital Photogrammetry is shown and trained for example scanning, image orientation, mono and stereo plotting, aerial triangulation measurement (manual and automatic), block adjustment, automatic creation of surface models via image matching, creation of ortho images and mosaics, and others. Not only standard situations are dealt with but also more complex ones, such as unknown camera data, extreme relief or areas with very low contrast. Examples of both aerial and close-range photogrammetry present the power of these type of measurement techniques.

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Computing and combinatorics ; Vol. 3595 ; 11th Annual International Conference, COCOON 2005, Kunming, China, August 16-19, 2005, Proceedings

The papers in this volume were presented at theEleventh Annual InternationalComputing and Combinatorics Conference(COCOON 2005), The topics cover most aspects of theoretical computerscience and combinatorics related to computing.Submissions to the conference this year were conducted electronically. A totalof 353 papers were submitted, of which 96 were accepted.

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Computer Vision -- ECCV 2006 ; Vol. 3953 ; 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part III

Constitutes the refereed proceedings of the 9th European Conference on Computer Vision, 2006. This book covers a range of issues in computer vision, on recognition, statistical models and visual learning, 3D reconstruction and multi-view geometry, energy minimization, tracking and motion, segmentation, shape from X, visual tracking, and more.

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Computer Vision - ACCV 2006 ; Vol. 3852 ; 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006, Proceedings, Part II

ACCV has been making its rounds through the Asian landscape and came to India this year. Interest in computer vision is increasing and ACCV 2006 attracted about 500 submission. The evaluation team consisted of 27 experts serving as Area Chairs and about 270 reviewers in all. The whole process was conducted electronically in a double-blind manner,a ?rstfor ACCV.

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Computational Geometry : Algorithms and Applications

This introduction to computational geometry focuses on algorithms. Modern insights in computational geometry are used to provide solutions that are both efficient and easy to understand and implement.

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Mathematical methods and modelling in hydrocarbon exploration and production

Hydrocarbon exploration and production incorporate great technology challenges for the oil and gas industry. In order to meet the world's future demand for oil and gas, further technological advance is needed, which in turn requires research across multiple disciplines, including mathematics, geophysics, geology, petroleum engineering, signal processing, and computer science. This book addresses important aspects and fundamental concepts in hydrocarbon exploration and production. Moreover, new developments and recent advances in the relevant research areas are discussed, whereby special emphasis is placed on mathematical methods and modelling. The book reflects the multi-disciplinary character of the hydrocarbon production workflow, ranging from seismic data imaging, seismic analysis and interpretation and geological model building, to numerical reservoir simulation. Various challenges concerning the production workflow are discussed in detail.

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Bluetooth based indoor location positioning system for mobile robot navigation

Positioning objects has been an important topic since it’s needed to locate people, guide them to a certain place, and assist companies and organizations with their assets management. Great applicational opportunities emerge based on the inquiry of Received Signal Strength Indicator (RSSI). In this research, a positioning system using Bluetooth RSSI is proposed for indoor applications. First, RSSI values are inquired multiple times and the average is taken at multiple points of different distances from the transmitters. Then the distance is determined by the variations of RSSI values respectively to distance variations. Finally, a triangulation algorithm is used to calculate the current location of the receiver.

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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

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Advances in Probabilistic Graphical Models

This carefully edited book brings together in one volume some of the most important topics of current research in probabilistic graphical modelling, learning from data and probabilistic inference. This includes topics such as the characterisation of conditional independence, the sensitivity of the underlying probability distribution of a Bayesian network to variation in its parameters, the learning of graphical models with latent variables and extensions to the influence diagram formalism. In addition, attention is given to important application fields of probabilistic graphical models, such as the control of vehicles, bioinformatics and medicine.

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Advances in Geometric Modeling and Processing ; 5th International Conference, GMP 2008, Hangzhou, China, April 23-25, 2008. Proceedings

This book constitutes the refereed proceedings of the 5th International Conference on Geometric Modeling and Processing, GMP 2008, held in Hangzhou, China, in April 2008.

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3D design reconstruction

This report will talk about a way to design and rebuild a cheap, true-to-the-truth 3D system using reverse engineering. The system provides the service of reconstructing objects into 3D models by placing the object in a predetermined place facing a set of sensors and cameras at a certain distance and at precise angles, using the angle of rotation for each image and combining the points of triangulation we can build a form of 3D modeling types. These models can be used in digital animation or printed with 3D printers for a wide variety of applications.

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