9783540438182 - Multiple Classifier Systems: Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002. Proceedings: 2364 di Roli, Fabio; Kittler, Josef (14 risultati)

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Morethanadecadeago,combiningmultipleclassi erswasproposedasap- siblesolutiontotheproblemsposedbythetraditionalpatternclassi cation approachwhichinvolvedselectingthebestclassi erfromasetofcandidates basedontheirexperimentalevaluation. Asnoclassi erisknowntobethebest forallcasesandtheselectionofthebestclassi erforagivenpracticaltaskis verydi cult,diverseresearchcommunities,includingMachineLearning,N- ralNetworks,PatternRecognition,andStatistics,addressedtheengineering problemofhowtoexploitthestrengthswhileavoidingtheweaknessesofd- ferentdesigns. Thisambitiousresearchtrendwasalsomotivatedbyempirical observationsaboutthecomplementarityofdi erentclassi erdesigns,natural requirementsofinformationfusionapplications,andintrinsicdi cultiesasso- atedwiththeoptimalchoiceofsomeclassi erdesignparameters,suchasthe architectureandtheinitialweightsforaneuralnetwork. Afteryearsofresearch, thecombinationofmultipleclassi ershasbecomeawellestablishedandexciting researcharea,whichprovidese ectivesolutionstodi cultpatternrecognition problems. Aconsiderablebodyofempiricalevidencesupportsthemeritof- signingcombinedsystemswhoseaccuracyishigherthanthatofeachindividual classi er,andvariousmethodsforthegenerationandthecombinationofm- tipleclassi ershavebecomeavailable. However,despitetheprovedutilityof multipleclassi ersystems,nogeneralanswertotheoriginalquestionaboutthe possibilityofexploitingthestrengthswhileavoidingtheweaknessesofdi erent classi erdesignshasyetemerged. Otherfundamentalissuesarealsoamatterof on-goingresearchindi erentresearchcommunities. Theresultsachievedd- ingthepastyearsarealsospreadoverdi erentresearchcommunities,andthis makesitdi culttoexchangesuchresultsandpromotetheircross-fertilization. Theacknowledgmentofthefundamentalrolethatthecreationofacommon internationalforumforresearchersofthediversecommunitiescouldplayfor theadvancementofthisresearch eldmotivatedthepresentseriesofwo- shopsonmultipleclassi ersystems. Followingitspredecessors,MultipleCl- si erSystems2000(SpringerISBN3-540-67704-6)and2001(SpringerISBN 3-540-42284-6),thisvolumecontainstheproceedingsoftheThirdInternat ional WorkshoponMultipleClassi erSystems(MCS2002),heldattheGrandHotel ChiaLaguna,Cagliari,Italy,onJune24-26,2002. The29papersselectedby thescienti ccommitteehavebeenorganizedinsessionsdealingwithbagging andboosting,ensemblelearningandneuralnetworks,combinationstrategies, designmethodologies,analysisandperformanceevaluation,andapplications. Theworkshopprogramandthisvolumeareenrichedwiththreeinvitedtalks givenbyJoydeepGhosh(UniversityofTexas,USA),TrevorHastie(Stanford University,USA),andSarunasRaudys(VilniusGediminasTechnicalUniversity, Lithuania). Papersweresubmittedfromresearchersofthefourdiversecom- nities,socon rmingthatthisseriesofworkshopscanbecomeacommonforum VI Foreword forexchangingviewsandreportinglatestresearchresults. Asfortheprevious editions,thesigni cantnumberofpapersdealingwithrealpatternrecognition applicationsareproofofthepracticalutilityofmultipleclassi ersystems. This workshopwassupportedbytheUniversityofCagliari,Italy,theUniver sityof Surrey,Guildford,UnitedKingdom,andtheDepartmentofElectricalandEl- tronicEngineeringoftheUniversityofCagliari. Allthesesupportsaregratefully acknowledged. WealsothanktheInternationalAssociationforPatternRecog- tionanditsTechnicalCommitteeTC1onStatisticalPatternRecognitionTe- niquesforsponsoringMCS2002. Wewishtoexpressourappreciationtoallthose whohelpedtoorganizeMCS2002. Firstofall,wewouldliketothankallthe membersoftheScienti cCommitteewhoseprofessionalismwasinstrumental increatingaveryinterestingtechnicalprogram. Specialthanksareduetothe membersoftheOrganizingCommittee,GiorgioFumera,GiorgioGiacinto,and GianLucaMarcialisfortheirindispensablecontributionstotheMCS2002web sitemanagement,localorganization,andproceedingspreparation. April2002 FabioRoliandJosefKittler WorkshopChairs F. Roli(Univ. ofCagliari,Italy) J. Kittler(Univ. ofSurrey,UnitedKingdom) Scienti cCommittee J. A. Benediktsson(Iceland) M. Kamel(Canada).

Taschenbuch. Condizione: Neu. Multiple Classifier Systems | Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002. Proceedings | Fabio Roli (u. a.) | Taschenbuch | x | Englisch | 2002 | Springer | EAN 9783540438182 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Morethanadecadeago,combiningmultipleclassi erswasproposedasap- siblesolutiontotheproblemsposedbythetraditionalpatternclassi cation approachwhichinvolvedselectingthebestclassi erfromasetofcandidates basedontheirexperimentalevaluation. Asnoclassi erisknowntobethebest forallcasesandtheselectionofthebestclassi erforagivenpracticaltaskis verydi cult,diverseresearchcommunities,includingMachineLearning,N- ralNetworks,PatternRecognition,andStatistics,addressedtheengineering problemofhowtoexploitthestrengthswhileavoidingtheweaknesseso fd- ferentdesigns. Thisambitiousresearchtrendwasalsomotivatedbyempirical observationsaboutthecomplementarityofdi erentclassi erdesigns,natural requirementsofinformationfusionapplications,andintrinsicdi cultiesasso- atedwiththeoptimalchoiceofsomeclassi erdesignparameters,suchasthe architectureandtheinitialweightsforaneuralnetwork. Afteryearsofresearch, thecombinationofmultipleclassi ershasbecomeawellestablishedandexciting researcharea,whichprovidese ectivesolutionstodi cultpatternrecognition problems. Aconsiderablebodyofempiricalevidencesupportsthemeritof- signingcombinedsystemswhoseaccuracyishigherthanthatofeachindividual classi er,andvariousmethodsforthegenerationandthecombinationofm- tipleclassi ershavebecomeavailable. However,despitetheprovedutilityof multipleclassi ersystems,nogeneralanswertotheoriginalquestionaboutthe possibilityofexploitingthestrengthswhileavoidingtheweaknessesofdi erent classi erdesignshasyetemerged. Otherfundamentalissuesarealsoamatterof on-goingresearchindi erentresearchcommunities. Theresultsachievedd- ingthepastyearsarealsospreadoverdi erentresearchcommunities,andthis makesitdi culttoexchangesuchresultsandpromotetheircross-fertilization. Theacknowledgmentofthefundamentalrolethatthecreationofacommon internationalforumforresearchersofthediversecommunitiescouldplayfor theadvancementofthisresearch eldmotivatedthepresentseriesofwo- shopsonmultipleclassi ersystems. Followingitspredecessors,MultipleCl- si erSystems2000(SpringerISBN3-540-67704-6)and2001(SpringerISBN 3-540-42284-6),thisvolumecontainstheproceedingsoftheThirdInternational WorkshoponMultipleClassi erSystems(MCS2002),heldattheGrandHotel ChiaLaguna,Cagliari,Italy,onJune24-26,2002. The29papersselectedby thescienti ccommitteehavebeenorganizedinsessionsdealingwithbagging andboosting,ensemblelearningandneuralnetworks,combinationstrategies, designmethodologies,analysisandperformanceevaluation,andapplications. Theworkshopprogramandthisvolumeareenrichedwiththreeinvitedtalk s givenbyJoydeepGhosh(UniversityofTexas,USA),TrevorHastie(Stanford University,USA),andSarunasRaudys(VilniusGediminasTechnicalUniversity, Lithuania). Papersweresubmittedfromresearchersofthefourdiversecom- nities,socon rmingthatthisseriesofworkshopscanbecomeacommonforum VI Foreword forexchangingviewsandreportinglatestresearchresults. Asfortheprevious editions,thesigni cantnumberofpapersdealingwithrealpatternrecognition applicationsareproofofthepracticalutilityofmultipleclassi ersystems. This workshopwassupportedbytheUniversityofCagliari,Italy,theUniversityof Surrey,Guildford,UnitedKingdom,andtheDepartmentofElectricalandEl- tronicEngineeringoftheUniversityofCagliari. Allthesesupportsaregratefully acknowledged. WealsothanktheInternationalAssociationforPatternRecog- tionanditsTechnicalCommitteeTC1onStatisticalPatternRecognitionTe- niquesforsponsoringMCS2002. Wewishtoexpressourappreciationtoallthose whohelpedtoorganizeMCS2002. Firstofall,wewouldliketothankallthe membersoftheScienti cCommitteewhoseprofessionalismwasinstrumental increatingaveryinterestingtechnicalprogram. Specialthanksareduetothe membersoftheOrganizingCommittee,GiorgioFumera,GiorgioGiacinto,and GianLucaMarcialisfortheirindispensablecontributionstotheMCS2002web sitemanagement,localorganization,andproceedingspreparation. April2002 FabioRoliandJosefKittler WorkshopChairs F. Roli(Univ. ofCagliari,Italy) J. Kittler(Univ. ofSurrey,UnitedKingdom.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Invited Papers.- Multiclassifier Systems: Back to the Future.- Support Vector Machines, Kernel Logistic Regression and Boosting.- Multiple Classification Systems in the Context of Feature Extraction and Selection.- Bagging and Boosting.- Boosted Tree Ensemb.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Invited Papers.- Multiclassifier Systems: Back to the Future.- Support Vector Machines, Kernel Logistic Regression and Boosting.- Multiple Classification Systems in the Context of Feature Extraction and Selection.- Bagging and Boosting.- Boosted Tree Ensembles for Solving Multiclass Problems.- Distributed Pasting of Small Votes.- Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy.- Highlighting Hard Patterns via AdaBoost Weights Evolution.- Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse.- Ensemble Learning and Neural Networks.- Multistage Neural Network Ensembles.- Forward and Backward Selection in Regression Hybrid Network.- Types of Multinet System.- Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining.- Design Methodologies.- New Measure of Classifier Dependency in Multiple Classifier Systems.- A Discussion on the Classifier Projection Space for Classifier Combining.- On the General Application of the Tomographic Classifier Fusion Methodology.- Post-processing of Classifier Outputs in Multiple Classifier Systems.- Combination Strategies.- Trainable Multiple Classifier Schemes for Handwritten Character Recognition.- Generating Classifier Ensembles from Multiple Prototypes and Its Application to Handwriting Recognition.- Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data.- Stacking with Multi-response Model Trees.- On Combining One-Class Classifiers for Image Database Retrieval.- Analysis and Performance Evaluation.- Bias-Variance Analysis and Ensembles of SVM.- An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs.- Reduction of the Boasting Bias of Linear Experts.-Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers.- Applications.- Boosting and Classification of Electronic Nose Data.- Content-Based Classification of Digital Photos.- Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours.- Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach.- A Multi-expert System for Movie Segmentation.- Decision Level Fusion of Intramodal Personal Identity Verification Experts.- An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch.