01100nam a2200301 i 450099100317274970753620020509113438.0990324s1985 fr ||| | fre 2251000291b11119998-39ule_instPARLA176489ExLDip.to Scienze dell'AntichitàitafregrcgrcAristophanes602827Les guêpes; La paix /Aristophane ; texte établi par Victor Coulon et traduit par Hilaire Van Daele8. tirageParis :Les Belles Lettres,1985pagin. varia ;20 cmCollection des Universités de France.Série grecqueTesto greco a fronteDaele, Hilaire :VanLa paix.b1111999810-05-1828-06-02991003172749707536LE007 I Coll. 3 Aristophanes 0212015000034656le007-E0.00-no 01010.i1125768428-06-02Guêpes; La paix3369247UNISALENTOle00701-01-99ma -frefr 4103919nam 22006615 450 99654797060331620230315143856.03-030-96530-910.1007/978-3-030-96530-3(CKB)5580000000524090(DE-He213)978-3-030-96530-3(EXLCZ)99558000000052409020230315d2023 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputer Vision[electronic resource] Statistical Models for Marr's Paradigm /by Song-Chun Zhu, Ying Nian Wu1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (XIV, 357 p. 192 illus., 109 illus. in color.) 3-030-96529-5 Preface -- About the Authors -- 1 Introduction -- 2 Statistics of Natural Images -- 3 Textures -- 4 Textons -- 5 Gestalt Laws and Perceptual Organizations -- 6 Primal Sketch: Integrating Textures and Textons -- 7 2.1D Sketch and Layered Representation -- 8 2.5D Sketch and Depth Maps -- 9 Learning about information Projection -- 10 Informing Scaling and Regimes of Models -- 11 Deep Images and Models -- 12 A Tale of Three Families: Discriminative, Generative and Descriptive Models -- Bibliography.As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision. The mathematical framework herein integrates three regimes of models (low-, mid-, and high-entropy regimes) and provides foundation for research in visual coding, recognition, and cognition. Concepts are first explained for understanding and then supported by findings in psychology and neuroscience, after which they are established by statistical models and associated learning and inference algorithms. A reader will gain a unified, cross-disciplinary view of research in vision and will accrue knowledge spanning from psychology to neuroscience to statistics.Image processing—Digital techniquesComputer visionInformation visualizationComputer scienceComputer science—MathematicsMathematical statisticsNeural networks (Computer science)Computer Imaging, Vision, Pattern Recognition and GraphicsData and Information VisualizationTheory of ComputationProbability and Statistics in Computer ScienceComputer ScienceMathematical Models of Cognitive Processes and Neural NetworksImage processing—Digital techniques.Computer vision.Information visualization.Computer science.Computer science—Mathematics.Mathematical statistics.Neural networks (Computer science).Computer Imaging, Vision, Pattern Recognition and Graphics.Data and Information Visualization.Theory of Computation.Probability and Statistics in Computer Science.Computer Science.Mathematical Models of Cognitive Processes and Neural Networks.006Zhu Song-Chunauthttp://id.loc.gov/vocabulary/relators/aut1254935Wu Ying Nianauthttp://id.loc.gov/vocabulary/relators/autBOOK996547970603316Computer Vision3331956UNISA