Olivier Faugeras and Quang-Tuan Luong
with contributions from Theo Papadopoulo

The Geometry of Multiple Images

The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications

Over the last forty years, researchers have made great strides in elucidating the laws of image
formation, processing, and understanding by animals, humans, and machines. This book describes the state of knowledge in one subarea of vision, the geometric laws that relate different views of a scene. Geometry, one of the oldest branches of mathematics, is the natural language for describing three-dimensional shapes and spatial relations. Projective geometry, the geometry that best models image formation, provides a unified framework for thinking about many geometric problems relevant to vision. The book formalizes and analyzes the relations between multiple
views of a scene from the perspective of various types of geometries. A key feature is that it considers Euclidean and affine geometries as special cases of projective geometry.

Images play a prominent role in computer communications. Producers and users of images, in
particular three-dimensional images, require a framework for stating and solving problems. The
book offers a number of conceptual tools and theoretical results useful for the design of machine
vision algorithms. It also illustrates these tools and results with many examples of real applications.

March 2001
ISBN 0-262-06220-8
646 pp., 230 illus.(hard cover)

Vojislav Kecman

Learning and Soft Computing
Support Vector Machines, Neural Networks, and Fuzzy Logic Models

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical
structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed
structured human knowledge into workable algorithms. The book assumes that it is not only
useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the
theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

March 2001
ISBN 0-262-11255-8
608 pp., 268 illus. (hard cover)

Mukesh Patel, Vasant Honavar, and Karthik Balakrishnan
(eds.)

Advances in the Evolutionary Synthesis of Intelligent Agents

Among the first uses of the computer was the development of programs to model perception,
reasoning, learning, and evolution. Further developments resulted in computers and programs
that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled.
Computational molecular biology brought a similar approach to the study of living systems. In both
cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information.

Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures.
Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning.

The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.

March 2001
ISBN 0-262-16201-6
455 pp. (hard cover)

Christian Jacquemin

Spotting and Discovering Terms through Natural Language Processing

In this book Christian Jacquemin shows how the power of natural language processing (NLP) can be used to advance text indexing and information retrieval (IR). Jacquemin's novel tool is FASTR, a parser that normalizes terms and recognizes term variants. Since there are more meanings in a language than there are words, FASTR uses a metagrammar composed of shallow linguistic transformations that describe the morphological, syntactic, semantic, and pragmatic variations of words and terms. The acquired parsed terms can then be applied for precise retrieval and assembly of information.

The use of a corpus-based unification grammar to define, recognize, and combine term variants from their base forms allows for intelligent information access to, or "linguistic data tuning" of, heterogeneous texts. FASTR can be used to do automatic controlled indexing, to carry out content-based Web searches through conceptually related alternative query formulations, to abstract scientific and technical extracts, and even to translate and collect terms from
multilingual material. Jacquemin provides a comprehensive account of the method and
implementation of this innovative retrieval technique for text processing.

April 2001
ISBN 0-262-10085-1
357 pp., 71 illus. (hard cover)

Charles A. Nelson and Monica Luciana (eds.)

Handbook of Developmental Cognitive Neuroscience

The publication of this handbook testifies to the rapid growth of developmental cognitive neuroscience as a distinct field. Brain imaging and recording technologies, along with well-defined behavioral tasks--the essential methodological tools of cognitive neuroscience--are now being used to study development. Whereas earlier methodologies allowed scientists to study only adult brains, recent technological advances have yielded methods that can be safely used to study structure-function relations and their development in children's brains.
These new techniques combined with more refined cognitive models account for the progress and
heightened activity in developmental cognitive neuroscience research.

The handbook contains forty-one original contributions exploring basic aspects of neural
development, sensory and sensorimotor systems, language, cognition, and emotion. Aided by recent
results in neurobiology establishing that the human brain remains malleable and plastic throughout much of the lifespan, the contributors also explore the implications of lifelong neural plasticity for brain and behavioral development.

April 2001
ISBN 0-262-14073-X
776 pp., 261 illus., 27 color (hard cover)