By the King. A proclamation for reuoking all licences heretofore granted for erecting nevv buildings vvithin the citie of London, or two miles distance [[electronic resource] ] : together with a restraint for building within the same compasse

• Record Nr.: UNISA996389234003316
• Pubbl/distr/stampa: [Imprinted at London, : By Bonham Norton, and Iohn Bill, deputie printers for the Kings most excellent Maiestie, Anno M.DC.XVIII. [1618]
• Descrizione fisica: [2] sheets
• Altri autori (Persone): James, King of England, <1566-1625.>
• Soggetti: Buildings - England - London; City planning - England - London; London (England) Buildings, structures, etc Law and legislation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Caption title.; Dated at end: "Westminster the twentieth day of Iuly, in the sixteenth yeere of our raigne of England, France and Ireland, and of Scotland the two and fiftieth." Variant: Scottish regnal year corrected to "one and fiftieth".; Imprint from colophon.; In this edition sheet [2] line 1 ends: erect,.; Identified as STC 8574 on UMI microfilm.; Reproduction of the original in the Henry E. Huntington Library and Art Gallery.
• Sommario/riassunto: eebo-0113

Artificial Neural Networks in Pattern Recognition : Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings / / edited by Lionel Prevost, Simone Marinai, Friedhelm Schwenker

• Record Nr.: UNINA9910484432703321
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
• ISBN: 3-540-69939-2
• Edizione: [1st ed. 2008.]
• Descrizione fisica: 1 online resource (IX, 322 p.)
• Collana: Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 5064
• Altri autori (Persone): PrevostLionel; MarinaiSimone; SchwenkerFriedhelm
• Disciplina: 006.312
• Soggetti: Data mining; Computer engineering; Computer networks; Pattern recognition systems; Artificial intelligence; Application software; Biometric identification; Data Mining and Knowledge Discovery; Computer Engineering and Networks; Automated Pattern Recognition; Artificial Intelligence; Computer and Information Systems Applications; Biometrics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Unsupervised Learning -- Patch Relational Neural Gas – Clustering of Huge Dissimilarity Datasets -- The Block Generative Topographic Mapping -- Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs -- Probabilistic Models Based on the ?-Sigmoid Distribution -- How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise -- Supervised Learning -- Sparse Least ; Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis -- Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network -- Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics -- Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four -- Cyclostationary Neural Networks for Air Pollutant Concentration Prediction -- Fuzzy Evolutionary Probabilistic Neural Networks -- Experiments with Supervised Fuzzy LVQ -- A Neural Network Approach to Similarity Learning -- Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes -- Multiple Classifiers -- Boosting Threshold Classifiers for High– Dimensional Data in Functional Genomics -- Decision Fusion on Boosting Ensembles -- The Mixture of Neural Networks as Ensemble Combiner -- Combining Methods for Dynamic Multiple Classifier Systems -- Researching on Multi-net Systems Based on Stacked Generalization -- Applications -- Real-Time Emotion Recognition from Speech Using Echo State Networks -- Sentence Understanding and Learning of New Words with Large-Scale Neural Networks -- Multi-class Vehicle Type Recognition System -- A Bio-inspired Neural Model for Colour Image Segmentation -- Mining Software Aging Patterns by Artificial Neural Networks -- Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy -- Feature Selection -- Feature Ranking Ensembles for Facial Action Unit Classification -- Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration -- Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition -- Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint.
• Sommario/riassunto: TheThirdIAPRTC3WorkshoponArti'cialNeuralNetworksinPatternRec- nition, ANNPR 2008, was held at Pierre and Marie Curie University in Paris (France), July 2-4, 2008. The workshop was organized by the Technical C- mittee on Neural Networks and Computational Intelligence (TC3) that is one of the 20 TCs of the International Association for Pattern Recognition (IAPR). The scope of TC3 includes computational intelligence approaches, such as fuzzy systems, evolutionary computing and arti'cial neural networks and their use in various pattern recognition applications. ANNPR 2008 followed the success of the previous workshops: ANNPR 2003 held at the University of Florence (Italy) andANPPR 2006held at ReisensburgCastle, Universityof Ulm (Germany).All the workshops featured a single-track program including both oral sessions and posters with a focus on active participation from every participant. Inrecentyears,the'eld ofneuralnetworkshasmaturedconsiderablyinboth methodologyandreal-worldapplications.Asre'ectedinthisbook,arti'cialn- ral networks in pattern recognition combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. High quality across such a diverse ?eld of research can only be achieved through a rigorous and selective review process. For this workshop, 57 papers were submitted out of which 29 were selected for inclusion in the proceedings. The oral sessions included 18 papers, while 11 contributions were presented as posters. ANNPR 2008 featured research works in the areas of supervised and unsupervised learning, multiple classi'er systems, pattern recognition in signal and image processing, and feature selection.