LEADER 02648nam 22005773u 450 001 9910454422303321 005 20210114063241.0 010 $a1-282-05309-4 010 $a9786612053092 010 $a0-19-155026-4 035 $a(CKB)1000000000725513 035 $a(EBL)430949 035 $a(OCoLC)320627864 035 $a(MiAaPQ)EBC430949 035 $a(EXLCZ)991000000000725513 100 $a20130418d2009|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 200 10$aEvolutionary Conservation Genetics$b[electronic resource] 210 $aOxford $cOxford University Press, UK$d2009 215 $a1 online resource (200 p.) 300 $aDescription based upon print version of record. 311 $a0-19-921422-0 327 $aContents; Preface and acknowledgements; 1 The extinction vortex, is genetic variation related to extinction?; 2 How to measure genetic variation; 3 Inbreeding, geographic subdivision, and gene flow; 4 Genetic diversity in changing environments; 5 Genes under selection: Mhc and others; 6 Local adaptation; 7 Ecological genomics; 8 An evolutionary conservation biology; References; Index 330 $aConservation genetics focuses on understanding the role of genetic variation for population persistence. This book is about the methods used to study genetic variation in endangered species and whether genetic variation matters in the extinction of species. - ;Conservation genetics focuses on understanding the role and requirement of genetic variation for population persistence. However, considerable debate now surrounds the role of genetic factors (as opposed to non-genetic factors such as habitat destruction etc.) in population extinction, and a comprehensive synthesis is now timely. Can ext 606 $aGenetic Variation 606 $aBiological Evolution 606 $aExtinction, Biological 606 $aBiodiversity conservation 606 $aBiodiversity 606 $aConservation biology 606 $aEcological genetics 606 $aEvolutionary genetics 608 $aElectronic books. 615 12$aGenetic Variation. 615 22$aBiological Evolution. 615 22$aExtinction, Biological. 615 4$aBiodiversity conservation. 615 4$aBiodiversity. 615 4$aConservation biology. 615 4$aEcological genetics. 615 4$aEvolutionary genetics. 676 $a576.58 700 $aHo?glund$b Jacob$f1958-$0915217 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910454422303321 996 $aEvolutionary Conservation Genetics$92051121 997 $aUNINA LEADER 02567nas 2200721-a 450 001 996214805403316 005 20240113213019.0 011 $a1946-0732 035 $a(OCoLC)70679081 035 $a(CKB)1000000000701292 035 $a(CONSER)--2008202850 035 $a(EXLCZ)991000000000701292 100 $a20060724b20062022 --- a 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 08$aThe ... entertainment, media & advertising market research handbook 210 1$aLoganville, GA :$cRichard K. Miller & Assoc.,$d2006-2021. 210 31$aMiramar, FL :$cRichard K. Miller & Associates. 215 $a1 online resource (17 volumes) 225 1 $aRKMA market research handbook series 311 $a1946-066X 410 0$aRKMA market research handbook series. 517 3 $aEntertainment, media and advertising market research handbook 531 $aTHE ENTERTAINMENT, MEDIA AND ADVERTISING MARKET RESEARCH HANDBOOK 606 $aLeisure$zUnited States$vStatistics$vPeriodicals 606 $aMass media$zUnited States$vStatistics$vPeriodicals 606 $aAdvertising$zUnited States$vStatistics$vPeriodicals 606 $aMarketing$zUnited States$vStatistics$vPeriodicals 606 $aLoisir$xRecherche$zÉtats-Unis$vGuides, manuels, etc 606 $aPublicité$xRecherche$zÉtats-Unis$vGuides, manuels, etc 606 $aMarketing$xRecherche$vGuides, manuels, etc 606 $aLoisirs$xIndustrie$zÉtats-Unis$vStatistiques$vPériodiques 606 $aAdvertising$2fast 606 $aLeisure$2fast 606 $aMarketing$2fast 606 $aMass media$2fast 607 $aUnited States$2fast$1https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq 608 $aSerial publications$2fast 608 $aPeriodicals$2fast 608 $aStatistics$2fast 608 $aSerial publications.$2lcgft 608 $aStatistics.$2lcgft 615 0$aLeisure 615 0$aMass media 615 0$aAdvertising 615 0$aMarketing 615 6$aLoisir$xRecherche 615 6$aPublicité$xRecherche 615 6$aMarketing$xRecherche 615 6$aLoisirs$xIndustrie 615 7$aAdvertising 615 7$aLeisure 615 7$aMarketing 615 7$aMass media 676 $a790.1 712 02$aRichard K. Miller & Associates, 906 $aJOURNAL 912 $a996214805403316 996 $aThe ... entertainment, media & advertising market research handbook$92563515 997 $aUNISA LEADER 04615nam 22008775 450 001 9910484683003321 005 20251226200401.0 010 $a3-540-49072-8 024 7 $a10.1007/11926214 035 $a(CKB)1000000000284038 035 $a(SSID)ssj0000261203 035 $a(PQKBManifestationID)11217337 035 $a(PQKBTitleCode)TC0000261203 035 $a(PQKBWorkID)10257119 035 $a(PQKB)11613551 035 $a(DE-He213)978-3-540-49072-2 035 $a(MiAaPQ)EBC3068503 035 $a(Au-PeEL)EBL3068503 035 $a(CaPaEBR)ebr10532887 035 $a(CaONFJC)MIL138924 035 $a(OCoLC)262690958 035 $a(BIP)034164488 035 $a(PPN)152119280 035 $a(EXLCZ)991000000000284038 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aTransactions on Data Hiding and Multimedia Security I 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (IX, 139 p.) 225 1 $aTransactions on Data Hiding and Multimedia Security,$x1864-3051 ;$v4300 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-49071-X 320 $aIncludes bibliographical references and index. 327 $aTheoretical Framework for a Practical Evaluation and Comparison of Audio Watermarking Schemes in the Triangle of Robustness, Transparency and Capacity -- Watermarking Security: A Survey -- Efficient Implementation of Zero-Knowledge Proofs for Watermark Detection in Multimedia Data -- Identity-Based DRM: Personal Entertainment Domain -- Improving Steganalysis by Fusion Techniques: A Case Study with Image Steganography. 330 $aSince the mid 1990s, data hiding has been proposed as an enabling technology for securing multimedia communication, and is now used in various applications including broadcast monitoring, movie fingerprinting, steganography, video indexing and retrieval, and image authentication. Data hiding and cryptographic techniques are often combined to complement each other, thus triggering the development of a new research field in multimedia security. Two related disciplines, steganalysis and data forensics, are also increasingly attracting researchers and forming another new research field in multimedia security. This journal, LNCS Transactions on Data Hiding and Multimedia Security, aims to be a forum for all researchers in these emerging fields, publishing both original and archival research results. This inaugural issue contains five papers dealing with a wide range of topics related to multimedia security. The first paper deals with evaluation criteria for the performance of audio watermarking algorithms. The second provides a survey of problems related to watermark security. The third discusses practical implementations of zero-knowledge watermark detectors and proposes efficient solutions for correlation-based detectors. The fourth introduces the concept of Personal Entertainment Domains (PED) in Digital Rights Management (DRM) schemes. The fifth reports on the use of fusion techniques to improve the detection accuracy of steganalysis. 410 0$aTransactions on Data Hiding and Multimedia Security,$x1864-3051 ;$v4300 606 $aCryptography 606 $aData encryption (Computer science) 606 $aOperating systems (Computers) 606 $aElectronic data processing$xManagement 606 $aComputers and civilization 606 $aMultimedia systems 606 $aAlgorithms 606 $aCryptology 606 $aOperating Systems 606 $aIT Operations 606 $aComputers and Society 606 $aMultimedia Information Systems 606 $aAlgorithms 615 0$aCryptography. 615 0$aData encryption (Computer science) 615 0$aOperating systems (Computers) 615 0$aElectronic data processing$xManagement. 615 0$aComputers and civilization. 615 0$aMultimedia systems. 615 0$aAlgorithms. 615 14$aCryptology. 615 24$aOperating Systems. 615 24$aIT Operations. 615 24$aComputers and Society. 615 24$aMultimedia Information Systems. 615 24$aAlgorithms. 676 $a005.82 701 $aShi$b Yun Q$0600623 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484683003321 996 $aTransactions on data hiding and multimedia security$93422011 997 $aUNINA LEADER 06076nam 22007455 450 001 9910484279003321 005 20251226203903.0 010 $a3-540-35296-1 024 7 $a10.1007/11776420 035 $a(CKB)1000000000283911 035 $a(SSID)ssj0000318645 035 $a(PQKBManifestationID)11249848 035 $a(PQKBTitleCode)TC0000318645 035 $a(PQKBWorkID)10310455 035 $a(PQKB)11065307 035 $a(DE-He213)978-3-540-35296-9 035 $a(MiAaPQ)EBC3068083 035 $a(PPN)123135974 035 $a(BIP)34164113 035 $a(BIP)13513368 035 $a(EXLCZ)991000000000283911 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLearning Theory $e19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings /$fedited by Hans Ulrich Simon, Gábor Lugosi 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XII, 660 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4005 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-35294-5 320 $aIncludes bibliographical references and index. 327 $aInvited Presentations -- Random Multivariate Search Trees -- On Learning and Logic -- Predictions as Statements and Decisions -- Clustering, Un-, and Semisupervised Learning -- A Sober Look at Clustering Stability -- PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption -- Stable Transductive Learning -- Uniform Convergence of Adaptive Graph-Based Regularization -- Statistical Learning Theory -- The Rademacher Complexity of Linear Transformation Classes -- Function Classes That Approximate the Bayes Risk -- Functional Classification with Margin Conditions -- Significance and Recovery of Block Structures in Binary Matrices with Noise -- Regularized Learning and Kernel Methods -- Maximum Entropy Distribution Estimation with Generalized Regularization -- Unifying Divergence Minimization and Statistical Inference Via Convex Duality -- Mercer?s Theorem, Feature Maps, and Smoothing -- Learning Bounds for Support Vector Machines with Learned Kernels -- Query Learning and Teaching -- On Optimal Learning Algorithms for Multiplicity Automata -- Exact Learning Composed Classes with a Small Number of Mistakes -- DNF Are Teachable in the Average Case -- Teaching Randomized Learners -- Inductive Inference -- Memory-Limited U-Shaped Learning -- On Learning Languages from Positive Data and a Limited Number of Short Counterexamples -- Learning Rational Stochastic Languages -- Parent Assignment Is Hard for the MDL, AIC, and NML Costs -- Learning Algorithms and Limitations on Learning -- Uniform-Distribution Learnability of Noisy Linear Threshold Functions with Restricted Focus of Attention -- Discriminative Learning Can Succeed Where Generative Learning Fails -- Improved Lower Bounds for Learning Intersections of Halfspaces -- Efficient Learning Algorithms Yield Circuit Lower Bounds -- OnlineAggregation -- Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition -- Aggregation and Sparsity Via ?1 Penalized Least Squares -- A Randomized Online Learning Algorithm for Better Variance Control -- Online Prediction and Reinforcement Learning I -- Online Learning with Variable Stage Duration -- Online Learning Meets Optimization in the Dual -- Online Tracking of Linear Subspaces -- Online Multitask Learning -- Online Prediction and Reinforcement Learning II -- The Shortest Path Problem Under Partial Monitoring -- Tracking the Best Hyperplane with a Simple Budget Perceptron -- Logarithmic Regret Algorithms for Online Convex Optimization -- Online Variance Minimization -- Online Prediction and Reinforcement Learning III -- Online Learning with Constraints -- Continuous Experts and the Binning Algorithm -- Competing with Wild Prediction Rules -- Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path -- Other Approaches -- Ranking with a P-Norm Push -- Subset Ranking Using Regression -- Active Sampling for Multiple Output Identification -- Improving Random Projections Using Marginal Information -- Open Problems -- Efficient Algorithms for General Active Learning -- Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints. 330 $aThis book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. 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