A large amount of information about the world we live in is supplied by our visual systems. Humans perform the task of vision effortlessly without being aware of this complex process. Hierarchical structures permit successful examination of such intricate operations. This book investigates hierarchical-structured neural networks for vision and image processing tasks and proposes various new neural network models for that purpose. It exploits the capabilities of hierarchical neural networks in a systematic way by considering the similarities to hierarchical structures already in use by computer vision researchers. All issues of hierarchical neural networks are treated in considerable detail; that is, the structure of the network, the representation issue, and learning mechanisms are analyzed theoretically as well as experimentally. Considering the similarity between conventional vision algorithms and hierarchical neural networks not only allows a transfer of knowledge between these two fields, but also gives voice to many new algorithms.
This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.
The study of religion under the spell of fascism has not received due attention. One reason for the noticeable lack of interest was the political involvement of many historians of religions. Among those who had good reason to leave the era of fascism untouched, we find prominent figures in the field. Another obstacle to examining the past impartially has been the connection with religious and other worldviews which render historical accounts in the study of religion an intricate matter. The articles in this volume provide evidence of the great complexity of the problems involved. Laying the groundwork in many cases, they shed new light on a dark and poorly-lit era of the academic study of religion in Europe.
It is widely recognized nowadays that conical intersections ofmolecular potential-energy surfaces play a key mechanistic role in thespectroscopy of polyatomic molecules, photochemistry and chemicalkinetics. This invaluable book presents a systematic exposition of thecurrent state of knowledge about conical intersections, which has beenelaborated in research papers scattered throughout the chemicalphysics literature.
This is the fifth edition of the highly successful, classic textbook for bachelor and master courses, with over 20 % new material and the contents completely revised and updated. Using a minimum of mathematics, it explains the underlying theory of this most important spectroscopic technique in a thorough, yet readily understandable way, covering instrumentation and interpretation of the spectra. It presents all students need to know about 1D, 2D-NMR, solid state and dynamic NMR spectroscopy, as well as NMR imaging, all illustrated by examples for maximum clarity. All the sections include sub-chapters that focus on applications taken from organic, macromolecular, polymer and biochemistry. A must for students and lecturers in chemistry, biochemistry, pharmacy, and life sciences, as well as for spectroscopists.
An examination of the transmission and spread of papal documents in the Latin West between the 4th and 9th centuries. These documents, which were collected from the 5th century onwards, became the basis of canon law. The second part of the volume discusses the prevalence of forged decress which were attributed to the earliest popes.
The English translation of the three-volume Exegetisches Wrterbuch zum Neuen Testament, this monumental work by an ecumenical group of scholars is first of all a complete English dictionary of New Testament Greek. Going beyond that, however EDNT also serves as a guide to the usage of every New Testament word in its various contexts, and it makes a significant contribution to New Testament exegesis and theology. EDNT's thorough, lengthy discussions of more significant words and its grouping of words related by root and meaning (with alphabetical cross-references) distinguish it from simpler Greek-English lexicons. Advancing the discussion of the Theological Dictionary of the Old Testament, EDNT summarizes more recent treatments of numerous questions in New Testament study and takes into consideration newer viewpoints of linguistics.
A large amount of information about the world we live in is supplied by our visual systems. Humans perform the task of vision effortlessly without being aware of this complex process. Hierarchical structures permit successful examination of such intricate operations. This book investigates hierarchical-structured neural networks for vision and image processing tasks and proposes various new neural network models for that purpose. It exploits the capabilities of hierarchical neural networks in a systematic way by considering the similarities to hierarchical structures already in use by computer vision researchers. All issues of hierarchical neural networks are treated in considerable detail; that is, the structure of the network, the representation issue, and learning mechanisms are analyzed theoretically as well as experimentally. Considering the similarity between conventional vision algorithms and hierarchical neural networks not only allows a transfer of knowledge between these two fields, but also gives voice to many new algorithms.
The challenge behind the processing of digital images is the huge amounts of data that has to be processed in an extremely short period of time. This book is a broad-ranging technical survey of computational and analytical methods and tools for digital image analysis and interpretation. The ultimate goal is to create a rich set of computational methods for image analysis and interpretation that can achieve rapid response times. This book will serve as an excellent up-to-date resource for computer scientists and engineers in digital imaging and analysis.
This book constitutes the refereed proceedings of the International Conference on Artificial Neural Networks,ICANN 2001, held in Vienna, Austria in August 2001. The 171 revised papers presented together with three invited contributions were carefully reviewed and selected from around 300 submissions. The papers are organized in topical sections on data analysis and pattern recognition, theory, kernel methods, topographic mapping, independent component analysis, signal processing, time series processing, agent-based economic modeling, selforganization and dynamical systems, robotics and control, vision and image processing, computational neuroscience, and connectionist and cognitive science.
The four-volume set comprising LNCS volumes 3951/3952/3953/3954 constitutes the refereed proceedings of the 9th European Conference on Computer Vision, ECCV 2006. The 192 papers presented cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and multi-view geometry, energy minimization, tracking and motion, segmentation, shape from X, visual tracking, face detection and recognition, and more.
The four-volume set comprising LNCS volumes 3951/3952/3953/3954 constitutes the refereed proceedings of the 9th European Conference on Computer Vision, ECCV 2006, held in Graz, Austria, in May 2006. The 192 revised papers presented were carefully reviewed and selected from a total of 811 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and multi-view geometry, energy minimization, tracking and motion, segmentation, shape from X, visual tracking, face detection and recognition, illumination and reflectance modeling, and low-level vision, segmentation and grouping.
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