الصفحة 2
الصفحة 2
Neural Networks : Computational Models and Applications
Neural Networks: Computational Models and Applications covers a wealth of important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. By presenting various computational models, this book is developed to provide readers with a quick but insightful understanding of the broad and rapidly growing areas in the neural networks domain. Besides laying down fundamentals on artificial neural networks, this book also studies biologically inspired neural networks. Some typical computational models are discussed, and subsequently applied to objection recognition, scene analysis and associative memory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models ,supervised /unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Networks : From Biology to Theory
The concept of a network emerges as a powerful and stimulating research paradigm in mathematics, physics and computer science, and demonstrates a very lively interaction between experimental findings, simulation studies, and theoretical investigations that then in turn lead to new experimental questions. This volume explores this concept in full and features contributions from a truly global set of contributors.
Neo-Liberalism, State Power and Global Governance
Part One explores the pattern of national differences in the exercise of state power in a variety of industrialized and developing economies, despite the pressure to converge towards the dominant neo-liberal paradigm. Part Two analyses a variety of trans-national policy prescriptions for neo-liberalism and state power. Part Three explores whether the governance of labour markets is a special case in the global economy. Part Four sets out the need for institutional reform of the neo-liberal order in trade and finance. The volume concludes that there is the prospect of a more plural approach to state power and global governance, and one that recognizes the importance of the public domain of citizenship for delivering the global public goods of security, prosperity and environmental sustainability in the twenty-first century.
Neanderthals Revisited : New Approaches and Perspectives
This volume presents cutting-edge research by leading scientists re-examining the major debates in Neanderthal research with the use of innovative state-of-the art methods and exciting new theoretical approaches.Topics addressed include the re-evaluation of Neanderthal anatomy, inferred adaptations and habitual activities, developmental patterns, phylogenetic relationships, and the Neanderthal extinction; new methods include computer tomography, 3D geometric morphometrics, ancient DNA and bioenergetics. The diverse contributions offer fresh insights and advances in Neanderthal and modern human origins research.
Nanoscale Photonic Imaging
This book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies.
Nanocatalysis
Nanocatalysis is one of the most exciting subfields to have emerged from nanoscience. Its central aim is the control of chemical reactions by changing the size, dimensionality, chemical composition and morphology of the reaction center and by changing the kinetics using nanopatterning of the reaction centers. This approach opens up new avenues for atom-by-atom design of nanocatalysts with distinct and tunable chemical activity, specificity, and selectivity. This book is intended to give a pedagogical and methodological overview of this exciting and growing field and to highlight specific examples of current research. In this way, it serves both as an instructive introduction for graduate students who plan to enter the field and as a reference work for scientists already active in this and related areas.
Multiple Classifier Systems ; 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings
These proceedings are a record of the Multiple Classifier Systems Workshop, MCS 2007, held at the Institute of Information Theory and Automation, Czech Academy of Sciences, Prague in May 2007. the workshop achieved its objective of bringing together researchers from diverse communities (neural networks, pattern rec- nition, machine learning and statistics) concerned with this research topic.
Multiple Classifier Systems ; 2nd International Workshop, MCS 2001 Cambridge, UK, July 2-4, 2001 Proceedings
Driven by the requirements of a large number of practical and commercially - portant applications, the last decade has witnessed considerable advances in p- tern recognition. Better understanding of the design issues and new paradigms, such as the Support Vector Machine, have contributed to the development of - proved methods of pattern classi cation. However, while any performance gains are welcome, and often extremely signi cant from the practical point of view, it is increasingly more challenging to reach the point of perfection as de ned by the theoretical optimality of decision making in a given decision framework. The asymptoticity of gains that can be made for a single classi er is a re?- tion of the fact that any particular design, regardless of how good it is, simply provides just one estimate of the optimal decision rule.
Multimodal Technologies for Perception of Humans ; International Evaluation Workshops CLEAR 2007 and RT 2007, Baltimore, MD, USA, May 8-11, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed joint post-workshop proceedings of two co-located events: the Second International Workshop on Classification of Events, Activities and Relationships, CLEAR 2007, and the 5th Rich Transcription 2007 Meeting Recognition evaluation, RT 2007, held in succession in Baltimore, MD, USA, in May 2007.The workshops had complementary evaluation efforts; CLEAR for the evaluation of human activities, events, and relationships in multiple multimodal data domains; and RT for the evaluation of speech transcription-related technologies from meeting room audio collections.
Multimodal Processing and Interaction : Audio, Video, Text
Multimodal Processing and Interaction: Audio, Video and Text presents high quality, state-of-the-art research ideas and results from theoretic, algorithmic and application viewpoints. This edited volume contains both state-of-the-art reviews and original contributions by leading experts in the scientific and technological field of multimedia. It grew out of a four-year collaboration among research groups participating in the European network of Excellence on Multimedia Understanding, Semantics, Computation and Learning (MUSCLE).
Multimedia Retrieval
The single chapters of this textbook explain the general architecture of multimedia information retrieval systems; various metadata languages like Dublin Core, RDF, or MPEG; pattern recognition through Markov models, unsupervised learning, and pattern clustering; various indexing approaches to audio and video streams; interaction and control; the protection of content and user privacy; and search effectiveness and efficiency.
Multimedia Forensics
Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks.
Multilingualism, Cultural Identity, and Education in Morocco
This book is an original contribution to the field of multilingualism and cultural identity. It investigates the ramifications of multilingualism for language choice patterns and attitudes among Moroccans. It focuses on the impact of multilingualism on cultural identity and education. It includes a debate on education and language planning policies in Morocco since independence. It reveals the complexity of post-colonial Morocco characterized by contradictory attitudes toward the languages in contact and toward language policy and education. It is of interest to students and researchers of sociolinguistics, cultural studies, anthropology and gender studies as well as for specialists of education and language policy/planning.
Motion in Games ; 1st International Workshop, MIG 2008, Utrecht, The Netherlands, June 14-17, 2008. Revised Papers
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Motion in Games, held in Utrecht, The Netherlands, during June 14-17, 2008, in collaboration with the NLGD Festival of Games.The 24 revised papers presented during the workshop cover topics on crowd simulation; virtual humans; motion synthesis; interfaces; navigation and steering; and facial and behavioral animation.
Molecular Parameters Indicating Adaptation to Mechanical Stress in Fibrous Connective Tissue
The present study pursues the hypothesis that local compressive force and the occurrence of cartilage-specific transformation processes within tendons and ligaments are directly correlated. In selected anatomical samples of human origin the distribution pattern of certain components of the extracellular matrix is assessed. Investigations are carried out at the extensor tendons of toes and fingers, at the transverse ligament of the atlas, at the transverse ligament of the acetabulum, and at the tendon of the superior oblique muscle and its trochlea. The molecular components of the extracellular matrix are detected with standardized immunohistochemical methods. The results show that certain molecules only occur due to compressive stress, others due to tensile stress. The molecular spectrum of the extracellular matrix allows qualifying conclusions to the mechanical situation of a given part of the tissue. The spatial expansion of the fibrocartilaginous adaptation zones in tendons and ligaments roughly corresponds with the zones subjected to compressive force; tensile stress alone does not result in a production of fibrocartilage.
Modern deep learning for tabular data : Novel approaches to common modeling problems
Synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data - an incredibly ubiquitous form of structured data. Part I of the book offers a rigorous overview of machine learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant deep learning model designs - Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks - through both their 'default' usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge deep learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability.
Modern Computational Intelligence Methods for the Interpretation of Medical Images
A detailed description of up-to-date methods used for computer processing and interpretation of medical images is given. The scope of the book include images acquisition, storing with compression, processing, analysis, recognition and also its automatic understanding In introduction general overview of the computer vision methods designed for medical images is presented. Next sources of medical images are presented with their general characteristics. Both traditional (like X-ray) and very modern (like PET) sources of medical images are presented. The main emphasis is placed on such properties of medical images given by particular medical imaging methods which are important form the point of view of its computer processing, analysis and recognition.
Modeling Theory in Science Education
The book focuses as much on course content as on instruction and learning methodology, and presents practical aspects that have repeatedly demonstrated their value in fostering meaningful and equitable learning of physics and other science courses at the secondary school and college levels.The author shows how a scientific theory that is the object of a given science course can be organized around a limited set of basic models. Special tools are introduced, including modeling schemata, for students to meaningfully construct models and required conceptions, and for teachers to efficiently plan instruction and assess and regulate student learning and teaching practice. A scientific model is conceived to represent a particular pattern in the structure or behavior of physical realities and to explore and reify the pattern in specific ways. The author further shows how to engage students in modeling activities through structured learning cycles.
