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Author | Title | Accn# | Year | Item Type | Claims |
| 11 |
Zhang, Zhengyou |
3D Dynamic Scene Analysis |
I02808 |
1992 |
eBook |
|
| 12 |
Mikhailov, Alexander S |
Foundations of Synergetics II |
I02745 |
1991 |
eBook |
|
| 13 |
Domany, Eytan |
Models of Neural Networks I |
I02704 |
1995 |
eBook |
|
| 14 |
Haken, Hermann |
Principles of Brain Functioning |
I01842 |
1996 |
eBook |
|
| 15 |
Vieville, Thierry |
A Few Steps Towards 3D Active Vision |
I01571 |
1997 |
eBook |
|
| 16 |
Mikhailov, Alexander S |
Foundations of Synergetics I |
I01353 |
1990 |
eBook |
|
| 17 |
Domany, Eytan |
Models of Neural Networks |
I00012 |
1991 |
eBook |
|
| 18 |
Brandt Tso |
Classification methods for remotely sensed data |
017726 |
2001 |
Book |
|
| 19 |
Christopher M. Bishop |
Neural networks for pattern recognition |
016231 |
1995 |
Book |
|
| 20 |
Steven K. Rogers |
Introduction to biological and artificial neural networks for pattern recognition |
014656 |
1991 |
Book |
|
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11.
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| Title | 3D Dynamic Scene Analysis : A Stereo Based Approach |
| Author(s) | Zhang, Zhengyou;Faugeras, Olivier |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1992. |
| Description | XI, 300 p : online resource |
| Abstract Note | he problem of analyzing sequences of images to extract three-dimensional T motion and structure has been at the heart of the research in computer vi?? sion for many years. It is very important since its success or failure will determine whether or not vision can be used as a sensory process in reactive systems. The considerable research interest in this field has been motivated at least by the following two points: 1. The redundancy of information contained in time-varying images can over?? come several difficulties encountered in interpreting a single image. 2. There are a lot of important applications including automatic vehicle driv?? ing, traffic control, aerial surveillance, medical inspection and global model construction. However, there are many new problems which should be solved: how to effi?? ciently process the abundant information contained in time-varying images, how to model the change between images, how to model the uncertainty inherently associated with the imaging system and how to solve inverse problems which are generally ill-posed. There are of course many possibilities for attacking these problems and many more remain to be explored. We discuss a few of them in this book based on work carried out during the last five years in the Computer Vision and Robotics Group at INRIA (Institut National de Recherche en Informatique et en Automatique) |
| ISBN,Price | 9783642581489 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. EBOOK
5. EBOOK - SPRINGER
6. Image Processing and Computer Vision
7. Mathematical Methods in Physics
8. Numerical and Computational Physics, Simulation
9. OPTICAL DATA PROCESSING
10. PATTERN RECOGNITION
11. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02808 |
|
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On Shelf |
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12.
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| Title | Foundations of Synergetics II : Complex Patterns |
| Author(s) | Mikhailov, Alexander S;Loskutov, Alexander Yu |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1991. |
| Description | VIII, 210 p : online resource |
| Abstract Note | This textbook is based on a lecture course in synergetics given at the University of Moscow. In this second of two volumes, we discuss the emergence and properties of complex chaotic patterns in distributed active systems. Such patterns can be produced autonomously by a system, or can result from selective amplification of fluctuations caused by external weak noise. Although the material in this book is often described by refined mathematical theories, we have tried to avoid a formal mathematical style. Instead of rigorous proofs, the reader will usually be offered only "demonstrations" (the term used by Prof. V. I. Arnold) to encourage intuitive understanding of a problem and to explain why a particular statement seems plausible. We also refrained from detailing concrete applications in physics or in other scientific fields, so that the book can be used by students of different disciplines. While preparing the lecture course and producing this book, we had intensive discussions with and asked the advice of Prof. V. I. Arnold, Prof. S. Grossmann, Prof. H. Haken, Prof. Yu. L. Klimontovich, Prof. R. L. Stratonovich and Prof. Ya |
| ISBN,Price | 9783642972942 |
| Keyword(s) | 1. BIOMATHEMATICS
2. BOTANY
3. EBOOK
4. EBOOK - SPRINGER
5. Mathematical and Computational Biology
6. MATHEMATICAL PHYSICS
7. MICROPROCESSORS
8. PATTERN RECOGNITION
9. PLANT SCIENCE
10. Plant Sciences
11. Processor Architectures
12. Statistics for Life Sciences, Medicine, Health Sciences
13. Statistics??
14. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02745 |
|
|
On Shelf |
|
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13.
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| Title | Models of Neural Networks I |
| Author(s) | Domany, Eytan;Hemmen, J.Leo van;Schulten, Klaus |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1995. |
| Description | XVIII, 355 p. 3 illus. in color : online resource |
| Abstract Note | This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks |
| ISBN,Price | 9783642798146 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Neurosciences
9. PATTERN RECOGNITION
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02704 |
|
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On Shelf |
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14.
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| Title | Principles of Brain Functioning : A Synergetic Approach to Brain Activity, Behavior and Cognition |
| Author(s) | Haken, Hermann |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1996. |
| Description | XIII, 350 p : online resource |
| Abstract Note | It is increasingly being recognized that the experimental and theoretical study of the complex system brain requires the cooperation of many disciplines, in?? cluding biology, medicine, physics, chemistry, mathematics, computer science, linguistics, and others. In this way brain research has become a truly interdis?? ciplinary endeavor. Indeed, the most important progress is quite often made when different disciplines cooperate. Thus it becomes necessary for scientists to look across the fence surrounding their disciplines. The present book is written precisely in this spirit. It addresses graduate students, professors and scientists in a variety of fields, such as biology, medicine and physics. Be?? yond its mathematical representation the book gives ample space to verbal and pictorial descriptions of the main and, as I believe, fundamental new insights, so that it will be of interest to a general readership, too. I use this opportunity to thank my former students, some of whom are my present co-workers, for their cooperation over many years. Among them I wish to mention in particular M. Bestehorn, L. Borland, H. Bunz, A. Daf?? fertshofer, T. Ditzinger, E. Fischer, A. Fuchs, R. Haas, R. Honlinger, V. Jirsa, M. Neufeld, M. Ossig, D. Reimann, M. Schanz, G. Schoner, P. Tass, C. Uhl. My particular thanks go to R. Friedrich and A. Wunderlin for their constant help in many respects. Stimulating discussions with a number of colleagues from a variety of fields are also highly appreciated |
| ISBN,Price | 9783642795701 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOMATHEMATICS
4. BIOPHYSICS
5. COMPLEX SYSTEMS
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. Mathematical and Computational Biology
10. Neurosciences
11. PATTERN RECOGNITION
12. STATISTICAL PHYSICS
13. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01842 |
|
|
On Shelf |
|
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15.
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| Title | A Few Steps Towards 3D Active Vision |
| Author(s) | Vieville, Thierry |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1997. |
| Description | XII, 243 p. 39 illus : online resource |
| Abstract Note | A Few Steps Towards 3D Active Vision describes several modules that can be used to perform 3D vision. A specific problem in the field of active vision is analyzed, namely how suitable is it to explicitly use 3D visual cues in a reactive visual task? The author has collected a set of studies on this subject and has used these experimental and theoretical developments to propose a synthetic view on the problem, completed by some specific experiments. With this book scientists and graduate students will have a complete set of methods, algorithms, and experiments to introduce 3D visual cues in active visual perception mechanisms such as autocalibration of visual sensors on robotic heads and mobile robots. Analogies with biological visual systems provide an easy introduction to this subject |
| ISBN,Price | 9783642608421 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. ELECTRICAL ENGINEERING
4. MATHEMATICAL PHYSICS
5. Numerical and Computational Physics, Simulation
6. PATTERN RECOGNITION
7. PHYSICS
8. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01571 |
|
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On Shelf |
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16.
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| Title | Foundations of Synergetics I : Distributed Active Systems |
| Author(s) | Mikhailov, Alexander S |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1990. |
| Description | XII, 213 p. 12 illus : online resource |
| Abstract Note | This book gives an introduction to the mathematical theory of cooperative behavior in active systems of various origins, both natural and artificial. It is based on a lecture course in synergetics which I held for almost ten years at the University of Moscow. The first volume deals mainly with the problems of pattern fonnation and the properties of self-organized regular patterns in distributed active systems. It also contains a discussion of distributed analog information processing which is based on the cooperative dynamics of active systems. The second volume is devoted to the stochastic aspects of self-organization and the properties of self-established chaos. I have tried to avoid delving into particular applications. The primary intention is to present general mathematical models that describe the principal kinds of coopera?? tive behavior in distributed active systems. Simple examples, ranging from chemical physics to economics, serve only as illustrations of the typical context in which a particular model can apply. The manner of exposition is more in the tradition of theoretical physics than of in mathematics: Elaborate fonnal proofs and rigorous estimates are often replaced the text by arguments based on an intuitive understanding of the relevant models. Because of the interdisciplinary nature of this book, its readers might well come from very diverse fields of endeavor. It was therefore desirable to minimize the re?? quired preliminary knowledge. Generally, a standard university course in differential calculus and linear algebra is sufficient |
| ISBN,Price | 9783642785566 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. ECOLOGY
4. Ecology??
5. ECONOMIC THEORY
6. Economic Theory/Quantitative Economics/Mathematical Methods
7. GEOLOGY
8. MATHEMATICAL PHYSICS
9. MICROPROCESSORS
10. PATTERN RECOGNITION
11. Processor Architectures
12. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01353 |
|
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On Shelf |
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17.
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| Title | Models of Neural Networks |
| Author(s) | Domany, Eytan;Hemmen, J. Leo van;Schulten, Klaus |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1991. |
| Description | XVI, 347 p : online resource |
| Abstract Note | One of the great inteJlectual cha1lenges for the next few decades is the question of brain organization. What is the basic mechanism for storage of memory? What are the processes that serve as the interphase between the basically chemical processes of the body and the very specific and nonstatistical operations in the brain? Above all. how is concept formation achieved in the human brain? I wonder whether the spirit of the physics that will be involved in these studies will not be akin to that which moved the founders of the ''rational foundation of thermodynamics". CN. Yangl 10 The human brain is said 10 have roughly 10 neurons connected through about 14 10 synapses. Each neuron is itself a complex device which compares and integrates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the We have witnessed during the last decade brain to simpler physical systems |
| ISBN,Price | 9783642971716 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Neurosciences
9. PATTERN RECOGNITION
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I00012 |
|
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On Shelf |
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