LEADER 01279nam0-22003011i-450- 001 990000694440403321 005 20151029114439.0 010 $a92.826.5409.5 035 $a000069444 035 $aFED01000069444 035 $a(Aleph)000069444FED01 035 $a000069444 100 $a20020821d--------km-y0itay50------ba 101 0 $aeng 105 $ay-------001yy 200 1 $aEurope's Environment$ethe Dobris Assessment$fedited by David Stanners and Philippe Bourdeau$gprepared by the European Environment Agency Task Force ( European Commission DG XI and Phare) in cooperation with United Nations Economic Commission for Europe ...[...] 210 $aLuxenbourg$cOffice for Official Pubblications of the European Communities$d1995 . 215 $aXXVI, 712 p., c.di tav.$d30 cm 300 $aThe report on the State of the pan-European environment requested by the environment ministers for the whole of Europe et the ministerial Conference held at Dobris Castle, Czechoslovakia, june 1991. 702 1$aBourdeau,$bPhilippe 702 1$aStanners,$bDavis 710 02$aEuropean Environment Agency$035298 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000694440403321 952 $a01 A2 IV 28$b03050$fDINST 959 $aDINST 997 $aUNINA LEADER 07145nam 2200637 450 001 996466261203316 005 20220513171901.0 010 $a1-280-94918-X 010 $a9786610949182 010 $a3-540-72523-7 024 7 $a10.1007/978-3-540-72523-7 035 $a(CKB)1000000000478514 035 $a(EBL)3037354 035 $a(SSID)ssj0000206704 035 $a(PQKBManifestationID)11954559 035 $a(PQKBTitleCode)TC0000206704 035 $a(PQKBWorkID)10228991 035 $a(PQKB)11011777 035 $a(DE-He213)978-3-540-72523-7 035 $a(MiAaPQ)EBC3037354 035 $a(MiAaPQ)EBC6711212 035 $a(Au-PeEL)EBL6711212 035 $a(OCoLC)184986059 035 $a(PPN)123162300 035 $a(EXLCZ)991000000000478514 100 $a20220513d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMultiple classifier systems $e7th international workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings /$fMichal Haindl, Josef Kittler, Fabio Roli (editors) 205 $a1st ed. 2007. 210 1$aBerlin ;$aHeidelberg ;$aNew York :$cSpringer,$d[2007] 210 4$d©2007 215 $a1 online resource (534 p.) 225 1 $aLecture notes in computer science ;$v4472 300 $aDescription based upon print version of record. 311 $a3-540-72481-8 320 $aIncludes bibliographical references and index. 327 $aKernel-Based Fusion -- Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion -- The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition -- Kernel Combination Versus Classifier Combination -- Deriving the Kernel from Training Data -- Applications -- On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data -- A New HMM-Based Ensemble Generation Method for Numeral Recognition -- Classifiers Fusion in Recognition of Wheat Varieties -- Multiple Classifier Methods for Offline Handwritten Text Line Recognition -- Applying Data Fusion Methods to Passage Retrieval in QAS -- A Co-training Approach for Time Series Prediction with Missing Data -- An Improved Random Subspace Method and Its Application to EEG Signal Classification -- Ensemble Learning Methods for Classifying EEG Signals -- Confidence Based Gating of Colour Features for Face Authentication -- View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition -- Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification -- Serial Fusion of Fingerprint and Face Matchers -- Boosting -- Boosting Lite ? Handling Larger Datasets and Slower Base Classifiers -- Information Theoretic Combination of Classifiers with Application to AdaBoost -- Interactive Boosting for Image Classification -- Cluster and Graph Ensembles -- Group-Induced Vector Spaces -- Selecting Diversifying Heuristics for Cluster Ensembles -- Unsupervised Texture Segmentation Using Multiple Segmenters Strategy -- Classifier Ensembles for Vector Space Embedding of Graphs -- Cascading for Nominal Data -- Feature Subspace Ensembles -- A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers -- Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features -- Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection -- Stopping Criteria for Ensemble-Based Feature Selection -- Multiple Classifier System Theory -- On Rejecting Unreliably Classified Patterns -- Bayesian Analysis of Linear Combiners -- Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination -- Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks -- Classifier Combining Rules Under Independence Assumptions -- Embedding Reject Option in ECOC Through LDPC Codes -- Intramodal and Multimodal Fusion of Biometric Experts -- On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers -- Index Driven Combination of Multiple Biometric Experts for AUC Maximisation -- Q???stack: Uni- and Multimodal Classifier Stacking with Quality Measures -- Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication -- Optimal Classifier Combination Rules for Verification and Identification Systems -- Majority Voting -- Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets -- On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles -- Hierarchical Behavior Knowledge Space -- Ensemble Learning -- A New Dynamic Ensemble Selection Method for Numeral Recognition -- Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation -- Naïve Bayes Ensembles with a Random Oracle -- An Experimental Study on Rotation Forest Ensembles -- Cooperative Coevolutionary Ensemble Learning -- Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data -- An Ensemble Approach for Incremental Learning in Nonstationary Environments -- Invited Papers -- Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments -- Biometric Person Authentication Is a Multiple Classifier Problem. 330 $aThese proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2007, held at the Institute of Information Theory and Automation, Czech Academy of Sciences, Prague in May 2007. Being the seventh in a well-established series of meetings providing an international forum for the discussion of issues in multiple classi?er system design, the workshop achieved its objective of bringing together researchers from diverse communities (neural networks, pattern rec- nition, machine learning and statistics) concerned with this research topic. From more than 80 submissions, the Programme Committee selected 49 - pers to create an interesting scienti?c programme. The special focus of MCS 2007 was on the application of multiple classi?er systems in biometrics. This part- ular application area exercises all aspects of multiple classi?er fusion, from - tramodal classi?er combination, through con?dence-based fusion, to multimodal biometric systems. The sponsorship of MCS 2007 by the European Union N- work of Excellence in Biometrics BioSecure and in Multimedia Understanding through Semantics, Computation and Learning MUSCLE and their assistance in selecting the contributions to the MCS 2007 programme consistent with this theme is gratefully acknowledged. 410 0$aLecture notes in computer science ;$v4472. 606 $aMachine learning$vCongresses 615 0$aMachine learning 676 $a006.31 702 $aHaindl$b Michal 702 $aKittler$b Josef$f1946- 702 $aRoli$b Fabio$f1962- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466261203316 996 $aMultiple Classifier Systems$9772217 997 $aUNISA LEADER 03006nam 2200361 450 001 9910724378903321 005 20230630145950.0 035 $a(CKB)5470000002601200 035 $a(NjHacI)995470000002601200 035 $a(EXLCZ)995470000002601200 100 $a20230630d2015 uy 0 101 0 $afre 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aLa me?moire d'Ambroise de Milan $eUsages politiques et sociaux d'une autorite? patristique en Italie (ve-xviiie sie?cle) /$fPatrick Boucheron, [and many others] 210 1$aParis, France :$cE?ditions de la Sorbonne,$d2015. 215 $a1 online resource (631 pages) 330 $aCe livre ne traite ni de la vie d'Ambroise (339-397), e?ve?que et saint patron de la ville de Milan, ni de l'?uvre de celui qui fut conside?re? comme l'un des quatre Docteurs latins de l'E?glise latine. Il tente une arche?ologie historique de la me?moire ambrosienne, ou pluto?t de la disponibilite? sociale de son souvenir dans l'Italie me?die?vale et moderne. A? travers l'e?tude de ses usages politiques, on tente de saisir le champ d'action d'une memoria patristique qui plonge ses racines dans la tradition eccle?siale, la science me?die?vale et la pie?te? populaire. Re?solument interdisciplinaire, cette enque?te collective croise les apports des historiens et des arche?ologues, des philologues et des historiens de l'art, des spe?cialistes de la liturgie et de l'eccle?siologie, de la vie politique comme de l'histoire de l'e?rudition. Elle ne se contente pas de dresser la chronique des appropriations collectives d'un souvenir dispute? a? la faveur de la re?surgence des « nouveaux Ambroise » qui s'autorisent de son nom, mais tente de cerner les lieux ou? s'ancrent le souvenir : lieux urbains et iconographiques formant une ge?ographie monumentale du souvenir ambrosien, lieux de la canonisation textuelle et lieux liturgiques de la reme?moration. Homme de la romanite? continue?e, fondateur mythique des liberte?s eccle?siales et communales de la ville de Milan, Ambroise ne peut s'appre?hender qu'a? partir de ces lieux de me?moire. Il ne peut toutefois se re?duire a? ce souvenir situe? : saint universel, Ambroise se pre?te a? la re?actualisation permanente d'une tradition patristique, qui en fait une ressource discursive pour les controverses, les luttes sociales et les mobilisations collectives. En ce sens, et bien loin de l'image ire?nique qu'on pourrait se faire de la religion civique, le saint divise autant qu'il rassemble. 517 $aMémoire d?Ambroise de Milan 606 $aHistory 606 $aMedievalism 615 0$aHistory. 615 0$aMedievalism. 676 $a909 700 $aBoucheron$b Patrick$0140238 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910724378903321 996 $aLa me?moire d'Ambroise de Milan$93395673 997 $aUNINA