LEADER 04078nam 22007333u 450 001 9910456076803321 005 20210114083400.0 010 $a1-135-68007-8 010 $a1-282-37826-0 010 $a9786612378263 010 $a1-4106-0271-0 010 $a0-585-11870-1 035 $a(CKB)111000211290330 035 $a(EBL)474573 035 $a(OCoLC)609851527 035 $a(SSID)ssj0000273777 035 $a(PQKBManifestationID)11244242 035 $a(PQKBTitleCode)TC0000273777 035 $a(PQKBWorkID)10314002 035 $a(PQKB)10322187 035 $a(CaSebORM)9780805828986 035 $a(MiAaPQ)EBC474573 035 $a(EXLCZ)99111000211290330 100 $a20130418d1998|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aWord Recognition in Beginning Literacy$b[electronic resource] 205 $a1st edition 210 $aHoboken $cTaylor and Francis$d1998 215 $a1 online resource (398 p.) 300 $aDescription based upon print version of record. 311 $a0-8058-2898-2 327 $aBook Cover; Title; Copyright; Contents; Preface; I Basic Processes in Beginning Word Recognition; 1 Grapheme-Phoneme Knowledge Is Essential for Learning to Read Words in English; 2 The Role of Analogies in the Development of Word Recognition; 3 Issues Involved in Defining Phonological Awareness and Its Relation to Early Reading; 4 Spoken Vocabulary Growth and the Segmental Restructuring of Lexical Representations: Precursors to Phonemic Awareness and Early Reading Ability; 5 The Endpoint of Skilled Word Recognition: The ROAR Model; II Processes and Instruction for Disabled Readers 327 $a6 Phonological Processing Deficits and Reading Disabilities7 Consistency of Reading-Related Phonological Processes Throughout Early Childhood: Evidence From Longitudinal-Correlational and Instructional Studies; 8 Interactive Computer Support for Improving Phonological Skills; 9 A Beginning Literacy Program for At-Risk and Delayed Readers; III Word Recognition in Context; 10 The Impact of Print Exposure on Word Recognition; 11 Home Experiences Related to the Development of Word Recognition Linda Baker; 12 Why Spelling? The Benefits of Incorporating Spelling Into Beginning Reading Instruction 327 $a13 Phonics and Phonemes: Learning to Decode and Spell in a Literature-Based Program14 Motivating Contexts for Young Children's Literacy Development: Implications for Word Recognition; 15 Effective Beginning Literacy Instruction: Dialectical, Scaffolded, and Contextualized; Author Index; Subject Index 330 $aThis edited volume grew out of a conference that brought together beginning reading experts from the fields of education and the psychology of reading and reading disabilities so that they could present and discuss their research findings and theories about how children learn to read words, instructional contexts that facilitate this learning, background experiences prior to formal schooling that contribute, and sources of difficulty in disabled readers. The chapters bring a variety of perspectives to bear on a single cluster of problems involving the acquisition of word reading ability. It is 606 $aWord recognition 606 $aWord recognition 606 $aWord recognition 606 $aTheory & Practice of Education$2HILCC 606 $aEducation$2HILCC 606 $aSocial Sciences$2HILCC 608 $aElectronic books. 615 4$aWord recognition. 615 4$aWord recognition. 615 0$aWord recognition 615 7$aTheory & Practice of Education 615 7$aEducation 615 7$aSocial Sciences 676 $a372.4 676 $a372.46/2 676 $a372.462 700 $aMetsala$b Jamie L$0983483 701 $aEhri$b Linnea C$0983484 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910456076803321 996 $aWord Recognition in Beginning Literacy$92245085 997 $aUNINA LEADER 04663nam 22004935 450 001 9910255017303321 005 20200704073957.0 010 $a1-4471-6784-8 024 7 $a10.1007/978-1-4471-6784-6 035 $a(CKB)3710000000765345 035 $a(DE-He213)978-1-4471-6784-6 035 $a(MiAaPQ)EBC4616189 035 $a(PPN)194513114 035 $a(EXLCZ)993710000000765345 100 $a20160728d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Iris Recognition /$fedited by Kevin W. Bowyer, Mark J. Burge 205 $a2nd ed. 2016. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2016. 215 $a1 online resource (XXI, 568 p. 279 illus., 157 illus. in color.) 225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 311 $a1-4471-6782-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction to the Handbook of Iris Recognition -- A Survey of Iris Biometrics Research: 2008-2010 -- Optics of Iris Imaging Systems -- Standard Iris Storage Formats -- Iris Quality Metrics for Adaptive Authentication -- Quality and Demographic Investigation of ICE 2006 -- Methods for Iris Segmentation -- Iris Recognition with Taylor Expansion Features -- Application of Correlation Filters for Iris Recognition -- Introduction to the IrisCode Theory -- Robust and Secure Iris Recognition -- Multispectral Iris Fusion and Cross-Spectrum Matching -- Iris Segmentation for Challenging Periocular Images -- Periocular Recognition from Low Quality Iris Images -- Unconstrained Iris Recognition in Visible Wavelengths -- Design Decisions for an Iris Recognition SDK -- Fusion of Face and Iris Biometrics -- A Theoretical Model for Describing Iris Dynamics -- Iris Liveness Detection by Modeling Dynamic Pupil Features -- Iris Image Reconstruction from Binary Templates -- Off-Angle Iris Correction Methods -- Ophthalmic Disorder Menagerie and Iris Recognition -- Template Aging in Iris Biometrics. 330 $aThe definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Topics and features: With a Foreword by the ?father of iris recognition,? Professor John Daugman of Cambridge University Provides authoritative insights from an international selection of preeminent researchers with experience in sectors of government, industry, and academia Reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding Presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing Describes open source software for the iris recognition pipeline and datasets of iris images Includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition This essential text/reference is an ideal resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new viewpoints and ideas. Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Chair of the Department of Computer Science and Engineering at the University of Notre Dame, IN, USA. Dr. Mark J. Burge is a Scientist at the non-profit Noblis Corporation, Falls Church, VA, USA, and Visiting Professor at the US Naval Academy, Annapolis, MD, USA. His other publications include the Springer textbook Digital Image Processing ? An Algorithmic Introduction Using Java. 410 0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 606 $aPattern perception 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aPattern perception. 615 14$aPattern Recognition. 676 $a005.8 702 $aBowyer$b Kevin W$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBurge$b Mark J$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255017303321 996 $aHandbook of Iris Recognition$92224662 997 $aUNINA