01191nam--2200373---450-99000307139020331620080411161925.0978-3-540-68794-8000307139USA01000307139(ALEPH)000307139USA0100030713920080227d2006----km-y0itay50------baengDEa---||||001yyToward category-level object recognitionJean Ponce, Martial Hebert [et al.] (eds.)Berlin [etc.]Springercopyr. 2006XI, 618 p.ill.24 cmLecture Notes in Computer ScienceState-of-the-Art Survey41702001Lecture Notes in Computer Science4170Grafica con l'elaboratore006.6PONCE,Jean66811HEBERT,Martial600353ITsalbcISBD990003071390203316001 LNCS 417034500/CBS00100216997BKSCIANGELA9020080227USA011254ANGELA9020080411USA011619Toward category-level object recognition1022919UNISA01512oam 2200433 450 991071695190332120220118114149.0(CKB)5470000002526677(OCoLC)1285002401(OCoLC)995470000002526677(EXLCZ)99547000000252667720211110j202110 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierResults from the MISSE 6 scattered space atomic oxygen experiment (SSAOE) /Kim K. de Groh [and seven others]Cleveland, Ohio :National Aeronautics and Space Administration, Glenn Research Center,October 2021.1 online resource (30 pages) illustrations (some color)NASA/TM ;20210022054"October 2021."Includes bibliographical references (page 30).Results from the MISSE 6 scattered space atomic oxygen experiment Spacecraft designnasatNuclear energynasatLow Earth orbitsnasatSpacecraft design.Nuclear energy.Low Earth orbits.De Groh Kim K.1390436NASA Glenn Research Center,GPOGPOGPOBOOK9910716951903321Results from the MISSE 6 scattered space atomic oxygen experiment (SSAOE)3455972UNINA02841nam 22005535 450 991031193780332120200702074025.03-030-03241-810.1007/978-3-030-03241-8(CKB)4100000007761733(DE-He213)978-3-030-03241-8(MiAaPQ)EBC6312381(PPN)235006661(EXLCZ)99410000000776173320190227d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierA Concise Introduction to Measure Theory /by Satish Shirali1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (X, 271 p. 17 illus., 1 illus. in color.) Includes index.3-030-03240-X Preface -- 1. Preliminaries -- 2. Measure Space and Integral -- 3. Properties of the Integral -- 4. Construction of a Measure. 5. The Counting Measure -- 6. Product Measures -- 7. Differentiation -- 8. The Cantor Set and Function -- Solutions -- References -- Index.This undergraduate textbook offers a self-contained and concise introduction to measure theory and integration. The author takes an approach to integration based on the notion of distribution. This approach relies on deeper properties of the Riemann integral which may not be covered in standard undergraduate courses. It has certain advantages, notably simplifying the extension to "fuzzy" measures, which is one of the many topics covered in the book. This book will be accessible to undergraduate students who have completed a first course in the foundations of analysis. Containing numerous examples as well as fully solved exercises, it is exceptionally well suited for self-study or as a supplement to lecture courses.Measure theoryCalculusFunctions of real variablesMeasure and Integrationhttps://scigraph.springernature.com/ontologies/product-market-codes/M12120Calculushttps://scigraph.springernature.com/ontologies/product-market-codes/M12220Real Functionshttps://scigraph.springernature.com/ontologies/product-market-codes/M12171Measure theory.Calculus.Functions of real variables.Measure and Integration.Calculus.Real Functions.515.42Shirali Satishauthttp://id.loc.gov/vocabulary/relators/aut767697MiAaPQMiAaPQMiAaPQBOOK9910311937803321Concise Introduction to Measure Theory1563185UNINA