01403nam 2200373 450 991033254240332120200312151624.01-5090-2218-X(CKB)4100000008867355(WaSeSS)IndRDA00120219(EXLCZ)99410000000886735520200312d2016 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier2016 11th International Conference on Computer Science & Education 23-25 August 2016, Nagoya, Japan /Institute of Electrical and Electronics Engineers, Nagoya SectionPiscataway, New Jersey :Institute of Electrical and Electronics Engineers,2016.1 online resource (34 pages)1-5090-2219-8 Computer scienceStudy and teachingCongressesElectronic data processingStudy and teachingCongressesElectronic books.Computer scienceStudy and teachingElectronic data processingStudy and teaching004Institute of Electrical and Electronics Engineers.Nagoya Section,WaSeSSWaSeSSPROCEEDING99103325424033212016 11th International Conference on Computer Science & Education2521493UNINA05174nam 2201069 a 450 991078985120332120220415032936.01-283-05179-697866130517901-4008-3890-810.1515/9781400838905(CKB)2670000000079366(EBL)670340(OCoLC)715191162(SSID)ssj0000518372(PQKBManifestationID)11370289(PQKBTitleCode)TC0000518372(PQKBWorkID)10493966(PQKB)11320964(MiAaPQ)EBC670340(StDuBDS)EDZ0000514990(MdBmJHUP)muse36958(DE-B1597)446765(OCoLC)979910880(DE-B1597)9781400838905(Au-PeEL)EBL670340(CaPaEBR)ebr10456318(CaONFJC)MIL305179(PPN)187270163(EXLCZ)99267000000007936620101216d2011 uy 0engurnn#---|u||utxtccrHow many languages do we really need? the economics of linguistic diversity /Victor Ginsburgh, Shlomo WeberCourse BookPrinceton, N.J. Princeton University Press20111 online resource (247 p.)Description based upon print version of record.0-691-13689-0 Includes bibliographical references and index.Front matter --CONTENTS --Acknowledgments --Introduction --1. My Language IsMy Homeland --2. Linguistic Policies, Disenfranchisement, and Standardization --3. Linguistic, Genetic, and Cultural Distances: How Far Is Nostratic? --4. Distances Matter --5. Individual Communicative Benefits --6. Diversity and Disenfranchisement Indices --7. Diversity and Disenfranchisement: Applications --8. Multilingualism in the European Union: A Case Study in Linguistic Policy --Conclusions --Bibliography --IndexIn the global economy, linguistic diversity influences economic and political development as well as public policies in positive and negative ways. It leads to financial costs, communication barriers, divisions in national unity, and, in some extreme cases, conflicts and war--but it also produces benefits related to group and individual identity. What are the specific advantages and disadvantages of linguistic diversity and how does it influence social and economic progress? This book examines linguistic diversity as a global social phenomenon and considers what degree of linguistic variety might result in the greatest economic good. Victor Ginsburgh and Shlomo Weber look at linguistic proximity between groups and between languages. They describe and use simple economic, linguistic, and statistical tools to measure diversity's impact on growth, development, trade, the quality of institutions, translation issues, voting patterns in multinational competitions, and the likelihood and intensity of civil conflicts. They address the choosing of core languages in a multilingual community, such as the European Union, and argue that although too many official languages might harm cohesiveness, efficiency, and communication, reducing their number brings about alienation and disenfranchisement of groups. Demonstrating that the value and drawbacks of linguistic diversity are universal, How Many Languages Do We Need? suggests ways for designing appropriate linguistic policies for today's multilingual world.Language and languagesEuropean Union.Eurovision Song Contest.Newton's law.communication indices.core language.cultural distance.culture.disenfranchisement indices.disenfranchisement.economic progress.efficiency.foreign language.fractionalization indices.genetics.global economy.group identity.individual identity.inter-country differences.international trade.language learning.language policy.language proficiency.language standardization.language.linguistic distance.linguistic diversity.linguistic policy.literary translation.migration.multilingual community.multilingualism.polarization indices.universal gravitation.voting behavior.Language and languages.306.44ES 470rvkGinsburgh Victor118355Weber Shlomo760575MiAaPQMiAaPQMiAaPQBOOK9910789851203321How many languages do we really need3862038UNINA03806nam 22006615 450 991076026240332120240702115425.03-031-42667-310.1007/978-3-031-42667-4(MiAaPQ)EBC30771293(Au-PeEL)EBL30771293(DE-He213)978-3-031-42667-4(PPN)272920541(CKB)28461821600041(EXLCZ)992846182160004120231004d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDimensionality Reduction of Hyperspectral Imagery /by Arati Paul, Nabendu Chaki1st ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (125 pages)Print version: Paul, Arati Dimensionality Reduction of Hyperspectral Imagery Cham : Springer International Publishing AG,c2023 9783031426667 Includes bibliographical references and index.Introduction -- Remote sensing -- Digital image processing -- Hyperspectral image characteristics -- Dimensionality reduction -- Dataset description -- Pooling based band extraction -- Ranking based band selection -- Band optimization -- Data Driven approach -- Conclusion.This book provides information about different types of dimensionality reduction (DR) methods and their effectiveness in hyperspectral data processing. The authors first explain how hyperspectral imagery (HSI) plays an important role in remote sensing due to its high spectral resolution that enables better identification of different materials on the earth’s surface. The authors go on to describe potential challenges due to HSI being acquired in hundreds of narrow and contiguous bands, represented as a 3-dimensional image cube, often causing the bands to contain information redundancy. They then show how processing a large number of bands adds challenges in terms of computation complexity that reduces efficiency. The authors then present how DR is an essential step in hyperspectral data analysis to solve these issues. Overall, the book helps readers understand the DR processes and its impact in effective HSI analysis. Presents a data driven approach for dimensionality reduction (DR); Discusses the effect of spatial dimension and noise in the context of DR of hyperspectral imagery (HSI); Includes an optimization based approach for DR challenges and identification of gap areas in existing algorithms along with suitable solutions.Signal processingImage processingDigital techniquesComputer visionComputational intelligenceGeographic information systemsSignal, Speech and Image ProcessingComputer Imaging, Vision, Pattern Recognition and GraphicsComputational IntelligenceGeographical Information SystemSignal processing.Image processingDigital techniques.Computer vision.Computational intelligence.Geographic information systems.Signal, Speech and Image Processing.Computer Imaging, Vision, Pattern Recognition and Graphics.Computational Intelligence.Geographical Information System.519.536771.4Paul Arati1438724Chaki NabenduMiAaPQMiAaPQMiAaPQBOOK9910760262403321Dimensionality Reduction of Hyperspectral Imagery3600360UNINA