04124nam 2200661Ia 450 991045992760332120200520144314.01-282-63834-397866126383430-262-28961-X9786612638343(CKB)2670000000039810(EBL)3339148(SSID)ssj0000430648(PQKBManifestationID)11305644(PQKBTitleCode)TC0000430648(PQKBWorkID)10456380(PQKB)10041875(StDuBDS)EDZ0000131083(MiAaPQ)EBC3339148(OCoLC)648759762(OCoLC)656359059(OCoLC)743201100(OCoLC)816563062(OCoLC)961636048(OCoLC)962615679(OCoLC)966182255(OCoLC)988406632(OCoLC)990731094(OCoLC)991957560(OCoLC)1037905604(OCoLC)1038687291(OCoLC)1045522443(OCoLC)1066041138(OCoLC)1081260943(OCoLC-P)648759762(MaCbMITP)8671(Au-PeEL)EBL3339148(CaPaEBR)ebr10397658(CaONFJC)MIL263834(OCoLC)648759762(EXLCZ)99267000000003981020091201e20101982 uy 0engur|n|---|||||txtccrVision[electronic resource] a computational investigation into the human representation and processing of visual information /David MarrCambridge, MA MIT Pressc20101 online resource (432 p.)Originally published: San Francisco : W.H. Freeman, c1982.0-262-51462-1 Includes bibliographical references and index.Contents; Detailed Contents; Foreword; Preface; Part I Introduction and Philosophical Preliminaries; General Introduction; Chapter 1 The Philosophy and the Approach; Part II Vision; Chapter 2 Representing the Image; Chapter 3 From Images to Surfaces; Chapter 4 The Immediate Representation of Visible Surfaces; Chapter 5 Representing Shapes for Recognition; Chapter 6 Synopsis; Part III Epilogue; Chapter 7 In Defense of the Approach; Afterword; Glossary; Bibliography; Index"David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis--in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain."--MIT CogNet.VisionData processingVisionMathematical modelsHuman information processingElectronic books.VisionData processing.VisionMathematical models.Human information processing.612.8/4Marr David1945-1980.632820MiAaPQMiAaPQMiAaPQBOOK9910459927603321Vision46712UNINA03053nam0 2200577 i 450 VAN005610320240214085331.877978-35-402-0025-320061116d2003 |0itac50 baengDE|||| |||||Improved Bonferroni inequalities via abstract tubesinequalities and identities of inclusion-exclusion typeKlaus DohmenBerlinSpringer2003VIII, 109 p.ill.24 cmPubblicazione disponibile anche in formato elettronico001VAN01022502001 Lecture notes in mathematics210 Berlin [etc.]Springer1826VAN0234469Improved Bonferroni inequalities via abstract tubes16803790BxxOperations research and management science [MSC 2020]VANC019945MF60CxxCombinatorial probability [MSC 2020]VANC020094MF05B35Combinatorial aspects of matroids and geometric lattices [MSC 2020]VANC021180MF05A19Combinatorial identities, bijective combinatorics [MSC 2020]VANC021555MF05A20Combinatorial inequalities [MSC 2020]VANC021556MF60E15Inequalities; stochastic orderings [MSC 2020]VANC021557MF05A15Exact enumeration problems, generating functions [MSC 2020]VANC021558MF06A15Galois correspondences, closure operators (in relation to ordered sets) [MSC 2020]VANC021559MF62N05Reliability and life testing [MSC 2020]VANC021560MF68M15Reliability, testing and fault tolerance of networks and computer systems [MSC 2020]VANC021563MF68R10Graph theory (including graph drawing) in computer science [MSC 2020]VANC023623MF90B25Reliability, availability, maintenance, inspection in operations research [MSC 2020]VANC029126MF90B15Stochastic network models in operations research [MSC 2020]VANC029127MF05C15Coloring of graphs and hypergraphs [MSC 2020]VANC029129MFAbstract tubeKW:KBonferroni inequalitiesKW:KCombinatoricsKW:KGraph sieveKW:KGraph theoryKW:KInclusion-exclusionKW:KLatticeKW:KMatroidKW:KNetworksKW:KBerlinVANL000066DohmenKlausVANV044591149982Springer <editore>VANV108073650ITSOL20240614RICAhttps://doi.org/10.1007/b13785https://doi.org/10.1007/b13785BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08VAN0056103BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08PREST 05-XX 1158 08 6524 I 20061116 Improved Bonferroni inequalities via abstract tubes168037UNICAMPANIA