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Face Biometrics for Personal Identification : Multi-Sensory Multi-Modal Systems
This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.
Explainable AI with Python
This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches presented can be applied to almost all the current “machine learning” models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the others.
Evolving Connectionist Systems : The Knowledge Engineering Approach
Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. This edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. An important new feature of the book is the attempt to connect different structural and functional levels of a complex, intelligent system, looking for inspiration from functional relationships in natural systems, such as the genetic and the brain activity.
Evolutionary Synthesis of Pattern Recognition Systems
Evolutionary Synthesis of Pattern Recognition Systems presents novel effective approaches based on evolutionary computational techniques, such as genetic programming (GP), linear genetic programming (LGP), coevolutionary genetic programming (CGP) and genetic algorithms (GA) to automate the synthesis and analysis of object detection and recognition systems. The book’s concepts, principles, and methodologies will enable readers to automatically build robust and flexible systems—in a systematic manner—that can provide human-competitive performance and reduce the cost of designing and maintaining these systems. Its content covers all key aspects of object recognition: object detection, feature selection, feature discovery, object recognition, domain knowledge. Basic knowledge of programming and data structures, and some calculus, is presupposed.ing the book’s novel ideas
Evolutionary Computer Music
The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniques are used to model the cultural transmission and change of a population's body of musical ideas over time. In both cases, musical evolution can be guided by a variety of constraints and tendencies built into the system, such as realistic psychological factors that influence the way music is expressed, experienced, learned, stored, modified, and passed on among individuals. This book discusses not only the applications of evolutionary computation to music, but also the tools needed to create and study such systems. These tools are drawn in part from research into the origins and evolution of biological organisms, ecologies, and cultural systems on the one hand, and from computer simulation methodologies on the other. They can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed that would otherwise be impossible.
Evolutionary computation, machine learning and data mining in bioinformatics ; 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings
The feld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specifc infortioninagivendatasetinorderto generate new in teresting knowledge.Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to ofer the feld of bioinformatics.
Evaluation of Multilingual and Multi-modal Information Retrieval ; 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain, September 20-22, 2006, Revised Selected Papers
This book covers Multilingual Textual Document Retrieval, Domain-Specifig Information Retrieval, i-CLEF, QA@CLEF, ImageCLEF, CLSR, WebCLEF and GeoCLEF.
Entertainment computing - ICEC 2006 ; 5th International Conference, Cambridge, UK, September 20-22, 2006, Proceeding
ICEC 2006 attracted 47 full paper submissions, 48 short paper submissions in total 95 technical papers. Based on a thorough review and selection process by 85 international experts from academia and industry as members of the Program Committee, a high-quality program was compiled. The International Program Committee consisted of experts from all over the world As a result, 17 full papers and 17 short papers were accepted as submitted or with minor revisions. For the remaining submissions, 28 were recommended to change according to the reviews and were submitted as posters. This proceedings volume presents 62 technical contributions which are from many different countries.
Entertainment Computing - ICEC 2005 ; 4th International Conference, Sanda, Japan, September 19-21, 2005, Proceedings
First of all, we appreciate the hard work of all the authors who contributed to ICEC 2005 by submitting their papers. ICEC 2005 attracted 95 technical paper submissions, 8 poster submissions and 7 demo submissions, in total 110. This number is nearly equal to ICEC 2004. Based on a thorough review and selection process carried out by 76 international experts from academia and industry as members of the senior and international program committees, a high-quality program was compiled. The program committee consisted of experts from all over the world: 1 from Austria, 3 from Bulgaria, 2 from Canada, 4 from China, 1 from Finland, 4 from France, 10 from Germany, 1 from Greece, 1 from Ireland, 1 from Israel, 1 from Italy, 26 from Japan, 1 from Korea, 4 from The Netherlands, 1 from New Zealand, 1 from Norway, 1 from Singapore, 1 from Thailand, 4 from the UK, and 8 from the USA. In this number, reviewers are included. The final decision was made at the senior program committee meeting based on three reviewers' feedback, available online via the conference management tool. Through earnest and fair discussion at the meeting, 25 technical papers were accepted as long papers and 32 technical papers were accepted as short papers from 95 submitted technical papers. Moreover, 3 poster papers and 5 demo papers were accepted.
Enterprise Information Systems V
ICEIS focuses on real world applications and aims at bringing together researchers, engineers and practitioners interested in the advances and business applications of information systems. As in previous years, ICEIS’2003 held four simultaneous tracks covering different aspects of enterprise computing: Databases and Information Systems Integration, Artificial Intelligence and Decision Support Systems, Information Systems Analysis and Specification and Software Agents and Internet Computing. Although ICEIS’2003 received 546 paper submissions from over 50 countries, only 80 were accepted as full papers and presented in 30-minutes oral presentations. With an acceptance rate of 15%, these numbers demonstrate the intention of preserving a high quality forum for future editions of this conference. From the articles accepted as long papers for the conference, only 32 were selected for inclusion in this book Additional keynote lectures, tutorials and industrial sessions were also held during ICEIS’2003, and, for the first time this year, the 1st Doctoral Consortium on Enterprise Information Systems gave PhD students an opportunity to present their work to an international audience of experts in the field of information systems.
Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems
"Methods of Artificial Intelligence and Intelligent Agents" contains 13 contributions analyzing such areas of AI as fuzzy set theory, predicate logic, neural networks, clustering, data mining and others. It also presents applications of AI as possible solutions for problems like firm bankruptcy, soil erosion, flight control and others. "Information Technology Security" covers three important areas of security engineering in information systems: software security, public key infrastructure and the design of new cryptographic protocols and algorithms. "Biometric Systems" comprises 11 contributions dealing with face picture analysis and recognition systems. This chapter focuses on known methods of biometric problem solution as well as the design of new models.
Energy minimization methods in computer vision and pattern recognition ; 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings
Contains critical issues of representation, learning, and inference. Important new themes include pr- abilistic grammars, image parsing, and the use of datasets with ground-truth to act as benchmarks for evaluating algorithms and as a way to train learning algorithms. Other themes include the development of efficient inference algorithms using advanced techniques from statistics, computer science, and applied mathematics. This book makes no distinction between oral and poster papers. It also contiants sections on al- rithms, applications, image parsing, image processing, motion, shape, and thr- dimensional processing.
Energy minimization methods in computer vision and pattern recognition ; 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings
Constitutes the refereed proceedings of the 5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2005, in St Augustine, FL, USA, in November 2005. This book consists of 24 papers and 18 poster papers organized in topical sections on different approaches.
Encyclopedia of GIS "Geographical Information Sciences"
provides up-to-date information on emerging topics such as spatial big data, smart-phone GIS, urban computing and mobile recommender systems. It also expands the first edition’s rich set of GIS-related commercial and societal applications such as geo-targeting, geo-fencing and understanding climate changes, while enabling more comprehensive coverage of classical GIS topics such as map projections, global positioning systems and spatial cognition. The entries explain the key software, data sets and processes used by geographers and computational scientists. Additionally, the reference emphasizes the role of GIS in business and mobile intelligence. By offering more diversified GIS-related topics from theory and research than most of the other available literature, the authors equip newcomers to the field with principles as well as applications.
Emerging Technologies in Knowledge Discovery and Data Mining ; PAKDD 2007 International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers
The objective of this volume is to offer the excellent presentations to the public, and to promote the study exchange among researchers worldwide.The first part of this volume contains industrial track. This track was organized to attract papers on new technology trends and real-world solutions in different industry sectors. The succeeding chapters include Data Mining for Biomedical Applications aimed at attracting top researchers, practitioners and students from around the world to discuss data mining applications in the field of bioinformatics
Emergence of Communication and Language
This volume brings together studies from diverse disciplines, showing how they can inform and stimulate each other. It includes work in linguistics, psychology, neuroscience, anthropology and computer science. New empirical work is reported on both human and animal communication, using some novel techniques that have only recently become viable. A principal theme is the importance of studies involving artificial agents, their contribution to the body of knowledge on the emergence of communication and language, and the role of simulations in exploring some of the most significant issues. A number of different synthetic systems are described, demonstrating how communication can emerge in natural and artificial organisms. Theories on the origins of language are supported by computational and robotic experiments. Worldwide contributors to this volume include some of the most influential figures in the field, delivering essential reading for researchers and graduates in the area, as well as providing fascinating insights for a wider readership.
Embedded image processing on the TMS320C6000™ DSP : Examples in code composer studio™ and MATLAB
the author also explains the uses and rationale behind a plethora of technologies, most notably several industry-standard and essential TI developer technologies, including the Code Composer Studio™ IDE. Highlights include numerous debugged MATLAB and C/C++ Visual Studio prototype applications and efficient C implementations of real-world algorithms tested on both the C6416 DSK and C6701 EVM development platforms
Earthquake alert with smartwatch = تنبيه الزلازل باستخدام الساعة الذكية
After the recent events and earthquakes that affected the region, resulting in the deaths of many individuals due to the lack of timely emergency response, the idea for this project emerged Earthquake Alert with Smartwatch. Initially, our application gathers information about the user, such as age, family members, and any existing medical conditions. In the event of an earthquake, the application sends an alert to the user. It receives earthquake information, such as ‘magnitude, time, location…’ from United States Geological Survey “USGS” through an API. If the user is within the geographical area affected by the earthquake, the application will assist the Smartwatch in calculating vital signs such as ‘heart rate and blood pressure’. Additionally, there is another artificial intelligence model that receives the user's audio recordings and converts them into written texts. All this information, along with the user's geographical location, will be sent to the nearest emergency point for the purpose of aiding those individuals trapped under the rubble.
Early Aspects: Current Challenges and Future Directions ; 10th International Workshop, Vancouver, Canada, March 13, 2007, Revised Selected Papers
Traditionally, aspect-oriented software development (AOSD) has focused on the implementation phase of the software lifecycle: aspects are identified and captured mainly in code. Therefore, most current AOSD approaches place the burden for aspect identification and management on the programmer working at low levels of abstraction. However, aspects are often present well before the implementation phase, such as in domain models, requirements and software architecture. Identification and capture of these early aspects ensure that aspects related to the problem domain (as opposed to merely the implementation) will be appropriately captured, reasoned about and available. This offers improved opportunities for early recognition and negotiation of trade-offs and allows forward and backward aspect traceability. This makes requirements, architecture, and implementation more seamless, and allows a more systematic application of aspects.
Dynamical Vision ; ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers
Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a trafic scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, fire, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol.
