05589oam 22011894 450 991078823080332120230602201531.01-4623-6588-41-4518-7064-797866128415761-4519-9636-51-282-84157-2(CKB)3170000000055102(EBL)1605849(SSID)ssj0000943260(PQKBManifestationID)11515180(PQKBTitleCode)TC0000943260(PQKBWorkID)10977169(PQKB)11177916(OCoLC)762952420(MiAaPQ)EBC1605849(IMF)WPIEE2008206(EXLCZ)99317000000005510220020129d2008 uf 0engur|n|---|||||txtccrStress Testing at the IMF /Mark Swinburne, Stéphanie Marie Stolz, Marina MorettiWashington, D.C. :International Monetary Fund,2008.1 online resource (25 p.)IMF Working PapersIMF working paper ;WP/08/206Description based upon print version of record.1-4519-1517-9 Contents; I. Introduction; II. Background: Overview of the FSAP; III. Stress Testing in FSAPs; A. Stress Testing Approaches; B. Stress Testing Experience; C. Risks Addressed in FSAP Stress Tests; Table; 1. Evolution of Stress Testing Methodologies in European FSAPs; IV. FSAP Stress Testing Going Forward; A. Methodological Agenda; B. Other Aspects on the Agenda; Appendix; Stress Testing in European FSAPs; Appendix Tables; 1. FSAPs Covered in This Survey; 2. Who Did the Calculations in European FSAP Stress Tests?; 3. Institutions Covered in European FSAP Stress Tests4. Approaches to Credit Risk Modeling in European FSAPs5. Approaches to Interest Rate Risk Modeling in European FSAPs; 6. Approaches to Exchange Rate Risk Modeling in European FSAPs; 7. Interest Rate Shocks in European FSAPs; 8. Exchange Rate Shocks in European FSAPs; 9. Approaches to Modeling Other Market Risks in European FSAPs; 10. Approaches to Liquidity and Contagion Risk Modeling in European FSAPs; ReferencesFor almost a decade, the IMF has been using stress tests to identify vulnerabilities across institutions that could undermine the stability of a country's financial system. This working paper focuses on the IMF's experience with stress testing in the Financial Sector Assessment Program (FSAP). It provides background on the nature of an FSAP and the role of macro stress testing within it. It also describes how the methodology of stress testing in FSAPs has been evolving and what are fairly common approaches now being used. Finally, it discusses the main strengths and challenges for future development of macro stress testing in FSAPs and provides an overview of stress testing practice in European FSAPs.IMF Working Papers; Working Paper ;No. 2008/206Financial institutionsEuropeEvaluationRisk assessmentEuropeEvaluationFinanceEuropeEvaluationBanks and BankingimfFinance: GeneralimfFinancial Institutions and Services: Government Policy and RegulationimfGeneral Financial Markets: Government Policy and RegulationimfFinancing PolicyimfFinancial Risk and Risk ManagementimfCapital and Ownership StructureimfValue of FirmsimfGoodwillimfBanksimfDepository InstitutionsimfMicro Finance InstitutionsimfMortgagesimfFinanceimfFinancial services law & regulationimfBankingimfStress testingimfFinancial Sector Assessment ProgramimfFinancial sector stabilityimfCredit riskimfFinancial risk managementimfFinancial services industryimfBanks and bankingimfAustriaimfFinancial institutionsEvaluation.Risk assessmentEvaluation.FinanceEvaluation.Banks and BankingFinance: GeneralFinancial Institutions and Services: Government Policy and RegulationGeneral Financial Markets: Government Policy and RegulationFinancing PolicyFinancial Risk and Risk ManagementCapital and Ownership StructureValue of FirmsGoodwillBanksDepository InstitutionsMicro Finance InstitutionsMortgagesFinanceFinancial services law & regulationBankingStress testingFinancial Sector Assessment ProgramFinancial sector stabilityCredit riskFinancial risk managementFinancial services industryBanks and banking332.1Swinburne Mark1485147Stolz Stéphanie Marie1485148Moretti Marina1485149DcWaIMFBOOK9910788230803321Stress Testing at the IMF3704137UNINA05275nam 2200661 a 450 991101925490332120200520144314.0978661085590297812808559001280855908978047051049004705104989780470510483047051048X(CKB)1000000000356725(EBL)292581(OCoLC)476052571(SSID)ssj0000125019(PQKBManifestationID)11132730(PQKBTitleCode)TC0000125019(PQKBWorkID)10026368(PQKB)11391647(MiAaPQ)EBC292581(Perlego)2754993(EXLCZ)99100000000035672520070822d2007 uy 0engur|n|---|||||txtccrColor constancy /Marc EbnerChichester John Wileyc20071 online resource (409 p.)Wiley-IS&T series in imaging science and technologyDescription based upon print version of record.9780470058299 0470058293 Includes bibliographical references and index.Color Constancy; Contents; Series Preface; Preface; 1 Introduction; 1.1 What is Color Constancy?; 1.2 Classic Experiments; 1.3 Overview; 2 The Visual System; 2.1 Eye and Retina; 2.2 Visual Cortex; 2.3 On the Function of the Color Opponent Cells; 2.4 Lightness; 2.5 Color Perception Correlates with Integrated Reflectances; 2.6 Involvement of the Visual Cortex in Color Constancy; 3 Theory of Color Image Formation; 3.1 Analog Photography; 3.2 Digital Photography; 3.3 Theory of Radiometry; 3.4 Reflectance Models; 3.5 Illuminants; 3.6 Sensor Response; 3.7 Finite Set of Basis Functions4 Color Reproduction4.1 Additive and Subtractive Color Generation; 4.2 Color Gamut; 4.3 Computing Primary Intensities; 4.4 CIE XYZ Color Space; 4.5 Gamma Correction; 4.6 Von Kries Coefficients and Sensor Sharpening; 5 Color Spaces; 5.1 RGB Color Space; 5.2 sRGB; 5.3 CIE L*u*v*Color Space; 5.4 CIE L*a*b*Color Space; 5.5 CMY Color Space; 5.6 HSI Color Space; 5.7 HSV Color Space; 5.8 Analog and Digital Video Color Spaces; 6 Algorithms for Color Constancy under Uniform Illumination; 6.1 White Patch Retinex; 6.2 The Gray World Assumption; 6.3 Variant of Horn's Algorithm6.4 Gamut-constraint Methods6.5 Color in Perspective; 6.6 Color Cluster Rotation; 6.7 Comprehensive Color Normalization; 6.8 Color Constancy Using a Dichromatic Reflection Model; 7 Algorithms for Color Constancy under Nonuniform Illumination; 7.1 The Retinex Theory of Color Vision; 7.2 Computation of Lightness and Color; 7.3 Hardware Implementation of Land's Retinex Theory; 7.4 Color Correction on Multiple Scales; 7.5 Homomorphic Filtering; 7.6 Intrinsic Images; 7.7 Reflectance Images from Image Sequences; 7.8 Additional Algorithms; 8 Learning Color Constancy; 8.1 Learning a Linear Filter8.2 Learning Color Constancy Using Neural Networks8.3 Evolving Color Constancy; 8.4 Analysis of Chromatic Signals; 8.5 Neural Architecture based on Double Opponent Cells; 8.6 Neural Architecture Using Energy Minimization; 9 Shadow Removal and Brightening; 9.1 Shadow Removal Using Intrinsic Images; 9.2 Shadow Brightening; 10 Estimating the Illuminant Locally; 10.1 Local Space Average Color; 10.2 Computing Local Space Average Color on a Grid of Processing Elements; 10.3 Implementation Using a Resistive Grid; 10.4 Experimental Results; 11 Using Local Space Average Color for Color Constancy11.1 Scaling Input Values11.2 Color Shifts; 11.3 Normalized Color Shifts; 11.4 Adjusting Saturation; 11.5 Combining White Patch Retinex and the Gray World Assumption; 12 Computing Anisotropic Local Space Average Color; 12.1 Nonlinear Change of the Illuminant; 12.2 The Line of Constant Illumination; 12.3 Interpolation Methods; 12.4 Evaluation of Interpolation Methods; 12.5 Curved Line of Constant Illumination; 12.6 Experimental Results; 13 Evaluation of Algorithms; 13.1 Histogram-based Object Recognition; 13.2 Object Recognition under Changing Illumination13.3 Evaluation on Object Recognition TasksA human observer is able to recognize the color of objects irrespective of the light used to illuminate them. This is called color constancy. A digital camera uses a sensor to measure the reflected light, meaning that the measured color at each pixel varies according to the color of the illuminant. Therefore, the resulting colors may not be the same as the colors that were perceived by the observer. Obtaining color constant descriptors from image pixels is not only important for digital photography, but also valuable for computer vision, color-based automatic object recognition, and color imagWiley-IS&T series in imaging science and technology.Color visionColor vision.152.145Ebner Marc1753888MiAaPQMiAaPQMiAaPQBOOK9911019254903321Color constancy4421140UNINA01904nam0 2200397 i 450 RMG001821720251003044336.08823803063IT96-5481 20130827d1995 ||||0itac50 baitaitz01i xxxe z01nˆIl ‰project financeprincipi guida per la realizzazione delle opere pubblicheFederico Berruti ... \et al.!\a cura di Paul de Sury e Mario Miscali!MilanoEGEA©1995XIV, 158 p.24 cm.NewfinCentro studi sull'innovazione finanziaria dell'Università Bocconi18001CFI01693252001 NewfinCentro studi sull'innovazione finanziaria dell'Università Bocconi1871202Newfin <centro studi>CFIV177411Opere pubblicheFinanziamentiFIRCFIC081154E336Finanza pubblica12353Specifiche materie nell'amministrazione pubblica23FinanziamentoFinanziamentiFinanziamentoSury, Paul : deCFIV003326Miscali, MarioCFIV048175Berruti, FedericoRMGV008002ITIT-00000020130827IT-BN0095 IT-NA0070 NAP BU4 B Propedeutica. Formato cm. 20,1-28.NAP 01POZZO LIB.Vi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. RMG0018217Biblioteca Centralizzata di Ateneo1 v. 01POZZO LIB.ECON MON 7143 0101 0700220555E VMA 1 v. (Precedente collocazione 22 Ec 055)B 2022072920220729 01 BUProject finance418248UNISANNIO