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Complex analysis --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Molecular biology --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- complexe analyse (wiskunde) --- bio-informatica --- medische informatica --- biometrie --- database management --- robots --- moleculaire biologie
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This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions.
Complex analysis --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Molecular biology --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- complexe analyse (wiskunde) --- bio-informatica --- medische informatica --- biometrie --- database management --- robots --- moleculaire biologie
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This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains 103 papers presented at S+SSPR 2006, which was the ?fth time that the SPR and SSPR workshops organized by Technical Committees TC1 and TC2 of the International Association for Pattern Recognition (IAPR) were held together as joint workshops. It was also the ?rst time that the joint workshops were held in the Far East, at the beautiful campus of the Hong Kong University of Science and Technology (HKUST), on August 17-19, 2006, right before the 18th InternationalConference on PatternRecognition (ICPR 2006),also held in Hong Kong. SPR 2006 and SSPR 2006 together received 217 paper submissions from 33 countries. This volume contains 99 accepted papers, with 38 for oral presen- tion and 61 for poster presentation. In addition to parallel oral sessions for SPR and SSPR, there were also some joint oral sessions with papers of interest to both the SPR and SSPR communities. A recent trend that has emerged in the pattern recognition and machine learning research communities is the study of graph-based methods that integrate statistical and structural approaches. For this reason, a special joint session on graph-based methods was co-organized by Technical Committee TC15 to explore new research issues in this topic. Mo- over,invitedtalkswerepresentedbyfourprominentspeakers:RobertP. W. Duin from Delft Universityof Technology,The Netherlands, winner of the 2006Pierre Devijver Award; Tin Kam Ho from Bell Laboratories of Lucent Technologies, USA; Thorsten Joachims from Cornell University, USA; and B. John Oommen from Carleton University, Canada.
Discrete mathematics --- Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse --- discrete wiskunde --- grafische vormgeving --- informatica --- robots
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Discrete mathematics --- Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse --- discrete wiskunde --- grafische vormgeving --- informatica --- robots
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This volume contains all papers presented at SSPR 2004 and SPR 2004, hosted by the Instituto de Telecomunicac˜ ¸oes/Instituto Superior T´ ecnico, Lisbon, Portugal, August 18–20, 2004. This was the fourth time that the two workshops were held back-to-back. The SSPR was the tenth International Workshop on Structural and Synt- tic Pattern Recognition, and the SPR was the ?fth International Workshop on Statistical Techniques in Pattern Recognition. These workshops have traditi- ally been held in conjunction with ICPR (International Conference on Pattern Recognition), and are the major events for technical committees TC2 and TC1, respectively, of the International Association for Pattern Recognition (IAPR). The workshops were closely coordinated, being held in parallel, with plenary talks and a common session on hybrid systems. This was an attempt to resolve thedilemmaofhowto dealwiththeneedfornarrow-focusspecializedworkshops yet accommodate the presentation of new theories and techniques that blur the distinction between the statistical and the structural approaches. A total of 219 papers were received from many countries, with the subm- sion and reviewing processes being carried out separately for each workshop. A total of 59 papers were accepted for oral presentation and 64 for posters. In - dition, four invited speakers presented informative talks and overviews of their research. They were: Alberto Sanfeliu, from the Technical University of Cata- nia, Spain; Marco Gori, from the University of Siena, Italy; Nello Cristianini, from the University of California, USA; and Erkki Oja, from Helsinki University of Technology, Finland, winner of the 2004 Pierre Devijver Award.
Computer science. --- Computational complexity. --- Artificial intelligence. --- Computer graphics. --- Computer vision. --- Optical pattern recognition. --- Computer Science. --- Pattern Recognition. --- Discrete Mathematics in Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Image Processing and Computer Vision. --- Pattern recognition systems --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Computer science --- Image processing. --- Pattern recognition. --- Mathematics. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Complexity, Computational --- Digital techniques --- Computer science—Mathematics. --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical equipment
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Pattern recognition systems --- Reconnaissance des formes (Informatique) --- Congresses. --- Congrès --- Computer Science --- Electrical Engineering --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer science. --- Computer science --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Discrete Mathematics in Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Image Processing and Computer Vision. --- Mathematics. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer mathematics --- Discrete mathematics --- Informatics --- Science --- Digital techniques --- Mathematics --- Optical pattern recognition. --- Computational complexity. --- Computer vision. --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Complexity, Computational --- Pattern perception --- Perceptrons --- Visual discrimination --- Computer science—Mathematics. --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions.
Bioinformatics --- Pattern recognition systems --- Biology --- Information Science --- Biological Factors --- Publication Formats --- Investigative Techniques --- Biological Science Disciplines --- Publication Characteristics --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Chemicals and Drugs --- Natural Science Disciplines --- Disciplines and Occupations --- Congresses --- Pattern Recognition, Automated --- Computational Biology --- Biological Markers --- Methods --- Health & Biological Sciences --- Biology - General --- Pattern perception --- Optical data processing --- Computer science. --- Health informatics. --- Algorithms. --- Data mining. --- Artificial intelligence. --- Pattern recognition. --- Bioinformatics. --- Computer Science. --- Computational Biology/Bioinformatics. --- Health Informatics. --- Pattern Recognition. --- Data Mining and Knowledge Discovery. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence (incl. Robotics). --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Algorism --- Algebra --- Arithmetic --- Clinical informatics --- Health informatics --- Medical information science --- Medicine --- Informatics --- Science --- Data processing --- Foundations --- Medical records --- Optical pattern recognition. --- Computer software. --- Artificial Intelligence. --- Data processing. --- Software, Computer --- Computer systems --- Perceptrons --- Visual discrimination --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care
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This volume contains all papers presented at SSPR 2002 and SPR 2002 hosted by the University of Windsor, Windsor, Ontario, Canada, August 6-9, 2002. This was the third time these two workshops were held back-to-back. SSPR was the ninth International Workshop on Structural and Syntactic Pattern Recognition and the SPR was the fourth International Workshop on Statis- cal Techniques in Pattern Recognition. These workshops have traditionally been held in conjunction with ICPR (International Conference on Pattern Recog- tion), and are the major events for technical committees TC2 and TC1, resp- tively, of the International Association of Pattern Recognition (IAPR). The workshops were held in parallel and closely coordinated. This was an attempt to resolve the dilemma of how to deal, in the light of the progressive specialization of pattern recognition, with the need for narrow-focus workshops without further fragmenting the ?eld and introducing yet another conference that would compete for the time and resources of potential participants. A total of 116 papers were received from many countries with the submission and reviewingprocesses beingcarried out separately for each workshop. A total of 45 papers were accepted for oral presentation and 35 for posters. In addition four invited speakers presented informative talks and overviews of their research. They were: Tom Dietterich, Oregon State University, USA Sven Dickinson, the University of Toronto, Canada Edwin Hancock, University of York, UK Anil Jain, Michigan State University, USA SSPR 2002 and SPR 2002 were sponsored by the IAPR and the University of Windsor.
Optical pattern recognition. --- Computer vision. --- Artificial intelligence. --- Computer science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Probability and Statistics in Computer Science. --- Informatics --- Science --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Pattern recognition. --- Optical data processing. --- Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Statistical methods --- Optical equipment
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