LEADER 01266nam 2200361Ia 450 001 996396153503316 005 20200818211615.0 035 $a(CKB)4940000000057815 035 $a(EEBO)2240973824 035 $a(OCoLC)ocm12607827e 035 $a(OCoLC)12607827 035 $a(EXLCZ)994940000000057815 100 $a19850927d1642 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 00$aTrve intelligence from Ireland$b[electronic resource] $ebeing two letters sent from Dublin by men of good repute the 25 of Aprill 1642, by the last post : vvherein is related the victorious proceedings of the Protestants against the rebells in Ireland 210 $aLondon $cPrinted for John Sweeting$dthe second of May, 1642 215 $a8 p 300 $aThe first letter signed: E.V. 300 $aThe second letter signed: M. Lynne. 300 $aReproduction of original in Thomason Collection, British Library. 330 $aeebo-0158 607 $aIreland$xHistory$yRebellion of 1641 701 $aE. V$01004853 701 $aLynne$b M$01004854 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996396153503316 996 $aTrve intelligence from Ireland$92308933 997 $aUNISA LEADER 06085nam 22007575 450 001 996202530503316 005 20200701111226.0 010 $a3-319-10584-1 024 7 $a10.1007/978-3-319-10584-0 035 $a(CKB)3710000000227384 035 $a(SSID)ssj0001338662 035 $a(PQKBManifestationID)11860049 035 $a(PQKBTitleCode)TC0001338662 035 $a(PQKBWorkID)11338285 035 $a(PQKB)10591058 035 $a(DE-He213)978-3-319-10584-0 035 $a(MiAaPQ)EBC5588288 035 $a(Au-PeEL)EBL5588288 035 $a(OCoLC)889237401 035 $a(PPN)180626337 035 $a(EXLCZ)993710000000227384 100 $a20140814d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aComputer Vision -- ECCV 2014$b[electronic resource] $e13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII /$fedited by David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XXVI, 632 p. 261 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8695 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-10583-3 327 $aPerson Re-Identification Using Kernel-Based Metric Learning Methods -- Saliency in Crowd -- Webpage Saliency -- Deblurring Face Images with Exemplars -- Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution -- Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information -- Affine Subspace Representation for Feature Description -- A Generative Model for the Joint Registration of Multiple Point Sets -- Change Detection in the Presence of Motion Blur and Rolling Shutter Effect -- An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions -- OpenDR: An Approximate Differentiable Renderer -- A Superior Tracking Approach: Building a Strong Tracker through Fusion -- Training-Based Spectral Reconstruction from a Single RGB Image -- On Shape and Material Recovery from Motion -- Intrinsic Image Decomposition Using Structure-Texture Separation and Surface Normals -- Multi-level Adaptive Active Learning for Scene Classification -- Graph Cuts for Supervised Binary Coding -- Planar Structure Matching under Projective Uncertainty for Geolocation -- Active Deformable Part Models Inference -- Simultaneous Detection and Segmentation -- Learning Graphs to Model Visual Objects across Different Depictive Styles -- Analyzing the Performance of Multilayer Neural Networks for Object Recognition -- Learning Rich Features from RGB-D Images for Object Detection and Segmentation -- Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification -- OTC: A Novel Local Descriptor for Scene Classification -- Multi-scale Orderless Pooling of Deep Convolutional Activation Features -- Expanding the Family of Grassmannian Kernels: An Embedding Perspective -- Image Tag Completion by Noisy Matrix Recovery -- ConceptMap: Mining Noisy Web Data for Concept Learning -- Shrinkage Expansion Adaptive Metric Learning -- Salient Montages from Unconstrained Videos -- Action-Reaction: Forecasting the Dynamics of Human Interaction -- Creating Summaries from User Videos -- Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow -- Robust Foreground Detection Using Smoothness and Arbitrariness Constraints -- Video Object Co-segmentation by Regulated Maximum Weight Cliques -- Dense Semi-rigid Scene Flow Estimation from RGBD Images -- Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes -- Joint Object Class Sequencing and Trajectory Triangulation (JOST) -- Scene Chronology. 330 $aThe seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8695 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aComputer graphics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 676 $a006.6 676 $a006.37 702 $aFleet$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPajdla$b Tomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchiele$b Bernt$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTuytelaars$b Tinne$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996202530503316 996 $aComputer Vision -- ECCV 2014$92587608 997 $aUNISA LEADER 00994nam0-2200301 --450 001 9910911599703321 005 20241205124808.0 020 $aIT$b653466 100 $a20241205d1965----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $a<>legislazione sugli alimenti$eprodotti agrari, sostanze di uso agrario$etesto e commento, giurisprudenza, frodi e sofisticazioni, vigilanza e repressione 205 $a8. ed 1965 210 $aRoma$cTip. 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