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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Schuld, Maria |
Supervised Learning with Quantum Computers |
I09145 |
2018 |
eBook |
|
| 2 |
Zhao, Haitao |
Feature Learning and Understanding |
I09105 |
2020 |
eBook |
|
| 3 |
Rosanov, Nikolay N |
Spatial Hysteresis and Optical Patterns |
I11550 |
2002 |
eBook |
|
| 4 |
Gvishiani, Alexej |
Artificial Intelligence and Dynamic Systems for Geophysical Applications |
I11025 |
2002 |
eBook |
|
| 5 |
Laermann, Karl-Hans |
Optical Methods in Experimental Solid Mechanics |
I10861 |
2000 |
eBook |
|
| 6 |
Deserno, Thomas Martin |
Biomedical Image Processing |
I08051 |
2011 |
eBook |
|
| 7 |
Byrnes, James |
Unexploded Ordnance Detection and Mitigation |
I06962 |
2009 |
eBook |
|
| 8 |
Fu, K.S |
VLSI for Pattern Recognition and Image Processing |
I04287 |
1984 |
eBook |
|
| 9 |
Mikhailov, Alexander S |
Foundations of Synergetics I |
I03596 |
1990 |
eBook |
|
| 10 |
Niemann, Heinrich |
Pattern Analysis and Understanding |
I03306 |
1990 |
eBook |
|
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1.
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| Title | Supervised Learning with Quantum Computers |
| Author(s) | Schuld, Maria;Petruccione, Francesco |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XIII, 287 p. 83 illus., 48 illus. in color : online resource |
| Abstract Note | Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices |
| ISBN,Price | 9783319964249 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. EBOOK
3. EBOOK - SPRINGER
4. Numerical and Computational Physics, Simulation
5. PATTERN RECOGNITION
6. PHYSICS
7. QUANTUM COMPUTERS
8. Quantum computing
9. Quantum Information Technology, Spintronics
10. QUANTUM PHYSICS
11. SPINTRONICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09145 |
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On Shelf |
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2.
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| Title | Feature Learning and Understanding : Algorithms and Applications |
| Author(s) | Zhao, Haitao;Lai, Zhihui;Leung, Henry;Zhang, Xianyi |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XIV, 291 p. 126 illus., 109 illus. in color : online resource |
| Abstract Note | This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence |
| ISBN,Price | 9783030407940 |
| Keyword(s) | 1. Computational Intelligence
2. Data-driven Science, Modeling and Theory Building
3. EBOOK
4. EBOOK - SPRINGER
5. ECONOPHYSICS
6. IMAGE PROCESSING
7. Image Processing and Computer Vision
8. MACHINE LEARNING
9. OPTICAL DATA PROCESSING
10. PATTERN RECOGNITION
11. SIGNAL PROCESSING
12. Signal, Image and Speech Processing
13. Sociophysics
14. Speech processing systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09105 |
|
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On Shelf |
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3.
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| Title | Spatial Hysteresis and Optical Patterns |
| Author(s) | Rosanov, Nikolay N |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2002. |
| Description | XII, 308 p : online resource |
| Abstract Note | The book is devoted to the study of optical patterns and to optical bistability and hysteresis. In its methodology it is at the intersection of investigations in synergetics and modern nonlinear optics. This first monograph on optical patterns addresses researchers as well as students. The author studies the rich class of spatially distributed bistable optical systems, and especially dissipative optical solitons which resemble molecules, crystals or biological objects when combined. The author studies further the inhomogeneities of bistable systems and gives a consistent description of spatial hysteresis. Further topics include diffractive mechanisms for coupling, three-dimensional optical solitons, quantum aspects and optical information processing, lasers with a saturable absorber, non-linear waveguides and fibers with nonlinear gain or losses |
| ISBN,Price | 9783662047927 |
| Keyword(s) | 1. CLASSICAL ELECTRODYNAMICS
2. COMPLEX SYSTEMS
3. DYNAMICAL SYSTEMS
4. EBOOK
5. EBOOK - SPRINGER
6. ELECTRODYNAMICS
7. OPTICS
8. PATTERN RECOGNITION
9. STATISTICAL PHYSICS
10. 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 |
| I11550 |
|
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On Shelf |
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4.
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| Title | Artificial Intelligence and Dynamic Systems for Geophysical Applications |
| Author(s) | Gvishiani, Alexej;Dubois, Jacques O |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2002. |
| Description | XV, 347 p : online resource |
| Abstract Note | The book presents new clustering schemes, dynamical systems and pattern recognition algorithms in geophysical, geodynamical and natural hazard applications. The original mathematical technique is based on both classical and fuzzy sets models. Geophysical and natural hazard applications are mostly original. However, the artificial intelligence technique described in the book can be applied far beyond the limits of Earth science applications. The book is intended for research scientists, tutors, graduate students, scientists in geophysics and engineers |
| ISBN,Price | 9783662049334 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. EBOOK
5. EBOOK - SPRINGER
6. Geographical information systems
7. Geographical Information Systems/Cartography
8. GEOPHYSICS
9. Geophysics and Environmental Physics
10. Geophysics/Geodesy
11. PATTERN RECOGNITION
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11025 |
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On Shelf |
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5.
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| Title | Optical Methods in Experimental Solid Mechanics |
| Author(s) | Laermann, Karl-Hans |
| Publication | Vienna, Springer Vienna, 2000. |
| Description | XII, 422 p. 461 illus., 2 illus. in color : online resource |
| Abstract Note | The book covers the theories and physics of advanced new optical measuring methods and problems of experimental performance, recent achievements in the basic interferometric methods holography, speckle-interferometry, shearography as well as linear/non-linear photoelasticity and photoviscoelasticity, Moir??- and grid-techniques. It deals with theory and application of digital image processing, methods of data recording, data processing and -visualisation, with mathematical/numerical procedures for final evaluation of digitised measured data and the principle of hybrid techniques. It introduces into the new perceptions of methods in experimental solid mechanics and it should encourage scientists to deal intensively with the theories for further developments, and enables practitioners, to understand theory and physics of the new achievements at least and to apply the methods in research als well as in developments in practice |
| ISBN,Price | 9783709125861 |
| Keyword(s) | 1. CLASSICAL MECHANICS
2. EBOOK
3. EBOOK - SPRINGER
4. Image Processing and Computer Vision
5. LASERS
6. MECHANICS
7. MICROSCOPY
8. OPTICAL DATA PROCESSING
9. Optics, Lasers, Photonics, Optical Devices
10. PATTERN RECOGNITION
11. PHOTONICS
12. SOLID STATE PHYSICS
13. SPECTROSCOPY
14. Spectroscopy and Microscopy
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10861 |
|
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On Shelf |
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6.
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| Title | Biomedical Image Processing |
| Author(s) | Deserno, Thomas Martin |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2011. |
| Description | XXXVII, 595 p : online resource |
| Abstract Note | In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics |
| ISBN,Price | 9783642158162 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. EBOOK
5. EBOOK - SPRINGER
6. Image Processing and Computer Vision
7. Imaging / Radiology
8. MEDICINE
9. Medicine/Public Health, general
10. OPTICAL DATA PROCESSING
11. PATTERN RECOGNITION
12. Radiology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08051 |
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On Shelf |
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7.
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| Title | Unexploded Ordnance Detection and Mitigation |
| Author(s) | Byrnes, James |
| Publication | Dordrecht, Springer Netherlands, 2009. |
| Description | X, 286 p : online resource |
| Abstract Note | The chapters in this volume were presented at the July???August 2008 NATO Advanced Study Institute on Unexploded Ordnance Detection and Mitigation. The conference was held at the beautiful Il Ciocco resort near Lucca, in the glorious Tuscany region of northern Italy. For the ninth time we gathered at this idyllic spot to explore and extend the reciprocity between mathematics and engineering. The dynamic interaction between world-renowned scientists from the usually disparate communities of pure mathematicians and applied scientists which occurred at our eight previous ASI???s continued at this meeting. The detection and neutralization of unexploded ordnance (UXO) has been of major concern for very many decades; at least since the First World war. UXO continues to be the subject of intensive research in many ?elds of science, incl- ing mathematics, signal processing (mainly radar and sonar) and chemistry. While today???s headlines emphasize the mayhem resulting from the placement of imp- vised explosive devices (IEDs), humanitarian landmine clearing continues to draw signi?cant global attention as well. In many countries of the world, landmines threaten the population and hinder reconstruction and fast, ef?cient utilization of large areas of the mined land in the aftermath of military con?icts |
| ISBN,Price | 9781402092534 |
| Keyword(s) | 1. Analytical chemistry
2. Computational Science and Engineering
3. Computer mathematics
4. EBOOK
5. EBOOK - SPRINGER
6. MICROWAVES
7. Microwaves, RF and Optical Engineering
8. OPTICAL ENGINEERING
9. PATTERN RECOGNITION
10. REMOTE SENSING
11. Remote Sensing/Photogrammetry
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06962 |
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On Shelf |
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8.
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| Title | VLSI for Pattern Recognition and Image Processing |
| Author(s) | Fu, K.S |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1984. |
| Description | XII, 236 p : online resource |
| Abstract Note | During the past two decades there has been a considerable growth in interest in problems of pattern recognition and image processing (PRIP). This inter?? est has created an increasing need for methods and techniques for the design of PRIP systems. PRIP involves analysis, classification and interpretation of data. Practical applications of PRIP include character recognition, re?? mote sensing, analysis of medical signals and images, fingerprint and face identification, target recognition and speech understanding. One difficulty in making PRIP systems practically feasible, and hence, more popularly used, is the requirement of computer time and storage. This situation is particularly serious when the patterns to be analyzed are quite complex. Thus it is of the utmost importance to investigate special comput?? er architectures and their implementations for PRIP. Since the advent of VLSI technology, it is possible to put thousands of components on one chip. This reduces the cost of processors and increases the processing speed. VLSI algorithms and their implementations have been recently developed for PRIP. This book is intended to document the recent major progress in VLSI system design for PRIP applications |
| ISBN,Price | 9783642475238 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. ELECTRONICS
4. Electronics and Microelectronics, Instrumentation
5. Image Processing and Computer Vision
6. MICROELECTRONICS
7. OPTICAL DATA PROCESSING
8. PATTERN RECOGNITION
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04287 |
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On Shelf |
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9.
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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 | X, 187 p. 19 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 formation 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 mathematics: Elaborate formal proofs and rigorous estimates are often replaced in 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 | 9783642972690 |
| Keyword(s) | 1. BOTANY
2. EBOOK
3. EBOOK - SPRINGER
4. ECONOMIC THEORY
5. Economic Theory/Quantitative Economics/Mathematical Methods
6. MATHEMATICAL PHYSICS
7. MICROPROCESSORS
8. PATTERN RECOGNITION
9. PLANT SCIENCE
10. Plant Sciences
11. Processor Architectures
12. Theoretical, Mathematical and Computational Physics
13. ZOOLOGY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03596 |
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On Shelf |
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10.
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| Title | Pattern Analysis and Understanding |
| Author(s) | Niemann, Heinrich |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1990. |
| Description | XIV, 371 p. 21 illus : online resource |
| Abstract Note | In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. The general view of a system for pattern analysis and understanding has remained unchanged, but many details have been revised. A short account of light and sound has been added to the introduction, some normalization techniques and a basic introduction to morphological operations have been added to the second chapter. Chapter 3 has been expanded significantly by topics like motion, depth, and shape from shading; additional material has also been added to the already existing sections of this chapter. The old sections of Chap. 4 have been reorganized, a general view of the classification problem has been added and material provided to incorporate techniques of word and object recognition and to give a short account of some types of neural nets. Almost no changes have been made in Chap. 5. The part on representation of control structures in Chap. 6 has been shortened, a section on the judgement of results has been added. Chapter 7 has been rewritten almost completely; the section on formal grammars has been reduced, the sections on production systems, semantic networks, and knowledge acquisition have been expanded, and sections on logic and explanation added. The old Chaps. 8 and 9 have been omitted. In summary, the new edition is a thorough revision and extensive update of the first one taking into account the progress in the field during recent years |
| ISBN,Price | 9783642748998 |
| Keyword(s) | 1. ACOUSTICS
2. COMPUTER HARDWARE
3. EBOOK
4. EBOOK - SPRINGER
5. Image Processing and Computer Vision
6. LASERS
7. OPTICAL DATA PROCESSING
8. Optics, Lasers, Photonics, Optical Devices
9. PATTERN RECOGNITION
10. PHOTONICS
11. SOFTWARE ENGINEERING
12. Software Engineering/Programming and Operating Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03306 |
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On Shelf |
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