LEADER 01490nam 2200361Ia 450 001 996394781703316 005 20210104164211.0 035 $a(CKB)3810000000008741 035 $a(EEBO)2264203528 035 $a(OCoLC)ocm70804046e 035 $a(OCoLC)70804046 035 $a(EXLCZ)993810000000008741 100 $a20060802d1660 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe loyall subjects joy, or, Joyfull news to all that faithfull be$b[electronic resource] $eand doth desire a happy year to see, to see the same let all good Christians pray first Charles in peace, my crown and scepter sway, then should we see such love in fair England, no forreign nation durst against us stand. The tune, Sound charge 210 $aLondon, $cPrinted for Charles Tyus on London Bridge$d[1660?] 215 $a1 sheet ([2] p.) $cill 300 $aSigned at end: T.R. 300 $aDate of publication suggested by Wing (2nd ed.). 300 $aImperfect: faded print; print show-through . 300 $aReproduction of original in the British Library. 330 $aeebo-0018 606 $aBallads, English$y17th century 608 $aBroadsides$zEngland$y17th century$2rbgenr 615 0$aBallads, English 700 $aRobins$b Thomas$ffl. 1672-1685.$01000942 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a996394781703316 996 $aThe loyall subjects joy, or, Joyfull news to all that faithfull be$92327535 997 $aUNISA LEADER 01476nam a2200313 i 4500 001 991001670509707536 005 20020503124331.0 008 001218s1997 it ||| | ita 020 $a8877503815 035 $ab1025531x-39ule_inst 035 $aLE01282506$9ExL 040 $aDip.to Lingue$bita 082 04$a801.95 100 1 $aBaroni, Giorgio$023345 245 10$aStoria della critica letteraria in Italia /$ca cura di Giorgio Baroni ; con la collaborazione di Rosanna Alhaique Pettinelli...[et al.] 260 $aTorino :$bUTET,$cc1997 300 $aXXIV, 598 p. ;$c22 cm. 500 $aIncludes bibliographical references and index 650 4$aCritica letteraria$zItalia$xStoria 700 1 $aAlhaique Pettinelli, Rosanna 907 $a.b1025531x$b21-02-12$c27-06-02 912 $a991001670509707536 945 $aLE016 801.95 BAR 01.01$g1$i2016000111378$lle016$on$pE32.50$q-$rn$so $t0$u0$v0$w0$x0$y.i14784865$z25-06-08 945 $aLE012 801.950 945 BAR$g1$i2012000023314$lle012$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10305725$z27-06-02 945 $aLE021 LETTDRAM18aB8$g1$i2021000129742$lle021$nColuccia$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i14057542$z05-05-05 945 $aLE021 LETTDRAM18aB9$g2$i2021000129544$lle021$nColuccia$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i14057608$z05-05-05 996 $aStoria della critica letteraria in Italia$9205853 997 $aUNISALENTO 998 $a(2)le016$ale012$a(2)le021$b01-01-00$cm$da $e-$fita$git $h0$i5 LEADER 04126nam 2200649Ia 450 001 9910791334203321 005 20230725015545.0 010 $a1-282-56246-0 010 $a9786612562464 010 $a0-8135-4928-0 024 7 $a10.36019/9780813549286 035 $a(CKB)2560000000014678 035 $a(EBL)867802 035 $a(OCoLC)642204458 035 $a(SSID)ssj0000416074 035 $a(PQKBManifestationID)11282722 035 $a(PQKBTitleCode)TC0000416074 035 $a(PQKBWorkID)10418815 035 $a(PQKB)10183856 035 $a(MdBmJHUP)muse18516 035 $a(DE-B1597)530341 035 $a(DE-B1597)9780813549286 035 $a(Au-PeEL)EBL867802 035 $a(CaPaEBR)ebr10386171 035 $a(CaONFJC)MIL256246 035 $a(MiAaPQ)EBC867802 035 $a(EXLCZ)992560000000014678 100 $a20091120d2010 ub 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDo hummingbirds hum?$b[electronic resource] $efascinating answers to questions about hummingbirds /$fGeorge C. West and Carol A. Butler 210 $aNew Brunswick, NJ $cRutgers University Press$dc2010 215 $a1 online resource (215 p.) 225 1 $aAnimal Q & A 300 $aDescription based upon print version of record. 311 $a0-8135-4738-5 320 $aIncludes bibliographical references and index. 327 $tFrontmatter --$tContents --$tPreface --$tAcknowledgments --$tOne. Hummingbird Basics --$tTwo. Systems and Senses --$tThree. Feathers and Bones --$tFour. Reproduction --$tFive. Flight and Migration --$tSix. Dangers and Defenses --$tSeven. Attracting and Feeding --$tEight. Identifying and Photographing --$tNine. Research and Conservation --$tAppendix A. Garden Plants That Attract Hummingbirds --$tAppendix B. Some Places to See Live Hummingbirds in Exhibits or Gardens --$tAppendix C. Some Places to See Live Hummingbirds in Exhibits or Gardens --$tAppendix D. Recommended Reading and Web Sites --$tReferences --$tIndex 330 $aHummingbirds may be the smallest birds in the world, but they have the biggest appetites. Their wings flutter on average fifty to eighty times each second as they visit hundreds of flowers over the course of a day to sip the sweet nectar that sustains them. Their hearts beat nearly twelve hundred times a minute and their rapid breathing allows these amazing birds to sustain their unique manner of flight. They can hover in the air for prolonged periods, fly backwards using forceful wings that swivel at the shoulder, and dive at nearly two hundred miles per hour. Native only to the Americas, some hummingbirds have been known to migrate from Mexico to Alaska in the course of a season. Watching a hummingbird at a backyard feeder, we only see its glittering iridescent plumage and its long, narrow beak; its rapidly moving wings are a blur to our eyes. These tiny, colorful birds have long fascinated birders, amateur naturalists, and gardeners. But, do they really hum? In Do Hummingbirds Hum? George C. West, who has studied and banded over 13,500 hummingbirds in Arizona, and Carol A. Butler provide an overview of hummingbird biology for the general reader, and more detailed discussions of their morphology and behavior for those who want to fly beyond the basics. Enriched with beautiful and rare photography, including a section in vivid color, this engaging question and answer guide offers readers a wide range of information about these glorious pollinators as well as tips for attracting, photographing, and observing hummingbirds in the wild or in captivity. 410 0$aAnimal Q & A. 606 $aHummingbirds$vMiscellanea 606 $aHummingbirds$xPhysiology 615 0$aHummingbirds 615 0$aHummingbirds$xPhysiology. 676 $a598.7/64 700 $aWest$b George C$01105968 701 $aButler$b Carol A.$f1943-$01474977 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910791334203321 996 $aDo hummingbirds hum$93799636 997 $aUNINA LEADER 06732nam 22008295 450 001 9910483821303321 005 20251226203645.0 024 7 $a10.1007/11567646 035 $a(CKB)1000000000213307 035 $a(SSID)ssj0000320610 035 $a(PQKBManifestationID)11270678 035 $a(PQKBTitleCode)TC0000320610 035 $a(PQKBWorkID)10249575 035 $a(PQKB)11135172 035 $a(DE-He213)978-3-540-32109-5 035 $a(MiAaPQ)EBC3067611 035 $a(PPN)123098106 035 $a(EXLCZ)991000000000213307 100 $a20100320d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVariational, Geometric, and Level Set Methods in Computer Vision $eThird International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings /$fedited by Nikos Paragios, Olivier Faugeras, Tony Chan, Christoph Schnoerr 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XII, 372 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v3752 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-32109-8 311 08$a3-540-29348-5 320 $aIncludes bibliographical references and index. 327 $aA Study of Non-smooth Convex Flow Decomposition -- Denoising Tensors via Lie Group Flows -- Nonlinear Inverse Scale Space Methods for Image Restoration -- Towards PDE-Based Image Compression -- Color Image Deblurring with Impulsive Noise -- Using an Oriented PDE to Repair Image Textures -- Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L 1 Functional -- Structure-Texture Decomposition by a TV-Gabor Model -- From Inpainting to Active Contours -- Sobolev Active Contours -- Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration -- Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision -- Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising -- Combined Geometric-Texture Image Classification -- Heuristically Driven Front Propagation for Geodesic Paths Extraction -- Trimap Segmentation for Fast and User-Friendly Alpha Matting -- Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case -- Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation -- Non-rigid Shape Comparison of Implicitly-Defined Curves -- Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines -- Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images -- A Variational Approach for Object Contour Tracking -- Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking -- A Surface Reconstruction Method for Highly Noisy Point Clouds -- A C 1 Globally Interpolatory Spline of Arbitrary Topology -- Solving PDEs on Manifolds with Global Conformal Parametriazation -- Fast Marching Method for Generic Shape from Shading -- A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints -- Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension -- Lens Distortion Calibration Using Level Sets. 330 $aMathematical methods has been a dominant research path in computational vision leading to a number of areas like ?ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geometric ?ows or through the minimization of problem-driven cost functions where their lowest potential corresponds to image understanding. The 3rd IEEE Workshop on Variational, Geometric and Level Set Methods focused on these novel mathematical techniques and their applications to c- puter vision problems. To this end, from a substantial number of submissions, 30 high-quality papers were selected after a fully blind review process covering a large spectrum of computer-aided visual understanding of the environment. The papers are organized into four thematic areas: (i) Image Filtering and Reconstruction, (ii) Segmentation and Grouping, (iii) Registration and Motion Analysis and (iiii) 3D and Reconstruction. In the ?rst area solutions to image enhancement, inpainting and compression are presented, while more advanced applications like model-free and model-based segmentation are presented in the segmentation area. Registration of curves and images as well as multi-frame segmentation and tracking are part of the motion understanding track, while - troducing computationalprocessesinmanifolds,shapefromshading,calibration and stereo reconstruction are part of the 3D track. We hope that the material presented in the proceedings exceeds your exp- tations and will in?uence your research directions in the future. We would like to acknowledge the support of the Imaging and Visualization Department of Siemens Corporate Research for sponsoring the Best Student Paper Award. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v3752 606 $aComputer vision 606 $aImage processing$xDigital techniques 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aAlgorithms 606 $aComputer graphics 606 $aComputer Vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 606 $aAlgorithms 606 $aComputer Graphics 615 0$aComputer vision. 615 0$aImage processing$xDigital techniques. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aComputer graphics. 615 14$aComputer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 615 24$aAlgorithms. 615 24$aComputer Graphics. 676 $a006.6 676 $a006.37 686 $a54.74$2bcl 701 $aParagios$b Nikos$0506535 712 12$aIEEE Workshop on Variational and Level Set Methods in Computer Vision 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483821303321 996 $aVariational, geometric, and level set methods in computer vision$94189979 997 $aUNINA