LEADER 03161nam 2200433z- 450 001 9910585997503321 005 20231214141127.0 035 $a(CKB)4590000000000167 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/90550 035 $a(EXLCZ)994590000000000167 100 $a20202208d2019 |y 0 101 0 $ager 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFindbuch des Bestandes Abt. 65.1-65.3$eDeutsche Kanzlei zu Kopenhagen bis 1730 | Deutsche Kanzlei zu Kopenhagen ab 1730 | Deutsche Kanzlei zu Kopenhagen für das Herzogtum Lauenburg 210 $aHamburg$cHamburg University Press$d2019 215 $a1 electronic resource (892 p.) 225 1 $aVeröffentlichungen des Landesarchivs Schleswig-Holstein 311 $a3-943423-57-3 330 $aThe German Chancery - since 1806 the Schleswig-Holstein Chancery, from 1816 on the Schleswig-Holstein-Lauenburg Chancery - developed from the early 16th century, and acquired fixed institutional forms in the 17th century. Its territorial jurisdiction initially extended to the royal portions, from 1773 to the entire Duchies of Schleswig and Holstein, and from 1816 additionally to the Duchy of Lauenburg. From 1667 to 1773, the counties of Oldenburg and Delmenhorst were also part of the Chancellery's portfolio. As the highest and most important royal authority for the duchies with its seat in Copenhagen, the Chancellery had a comprehensive area of competence. It was responsible for the entire internal administration of the country, unless individual tasks were assigned to special administrative authorities, such as the Chamber of Pensions. In addition, the Chancellery was also responsible for the foreign affairs of the Danish kingdom until the Department of Foreign Affairs was established for this purpose in 1770. The records of the German Chancellery are of outstanding importance for research on both Schleswig-Holstein and Danish history. This special value of the Chancery Archives is the reason why they are divided between the Reich Archives in Copenhagen and the Schleswig-Holstein State Archives: Copenhagen holds the bulk of the older records before 1730, while the Landesarchiv holds the bulk of the records from 1730 onwards.The written records of the German Chancellery in the Landesarchiv presented in this finding aid are among the most important holdings from the period from the 16th to the mid-19th century that the Landesarchiv has available for research. 517 $aFindbuch des Bestandes Abt. 65.1-65.3 606 $aRegional & national history$2bicssc 610 $aSchleswig-Holstein 610 $aDanmark 610 $aDuchy of Schleswig 610 $aDuchy of Holstein 610 $aDuchy of Lauenburg 610 $a17th century 610 $a18th century 610 $a19th century 610 $aState history 615 7$aRegional & national history 700 $aRathjen$b Jörg$4auth$0926400 906 $aBOOK 912 $a9910585997503321 996 $aFindbuch des Bestandes Abt. 65.1-65.3$93034000 997 $aUNINA LEADER 06892nam 22007095 450 001 9910502662703321 005 20251113192656.0 010 $a3-030-86608-4 024 7 $a10.1007/978-3-030-86608-2 035 $a(CKB)4100000012025454 035 $a(MiAaPQ)EBC6723118 035 $a(Au-PeEL)EBL6723118 035 $a(OCoLC)1268267057 035 $a(PPN)258051469 035 $a(DE-He213)978-3-030-86608-2 035 $a(EXLCZ)994100000012025454 100 $a20210909d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiometric Recognition $e15th Chinese Conference, CCBR 2021, Shanghai, China, September 10?12, 2021, Proceedings /$fedited by Jianjiang Feng, Junping Zhang, Manhua Liu, Yuchun Fang 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (502 pages) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12878 311 08$a3-030-86607-6 327 $aMulti-modal biometrics and Emerging Biometrics -- A Novel Dual-modal Biometric Recognition Method Based on Weighted Joint Sparse Representation Classification -- Personal Identification with Exploiting Competitive Tasks in EEG Signals -- A Systematical Solution for Face De-identification -- Skeleton-Based Action Recognition with Improved Graph Convolution Network -- End-to-end Finger Trimodal Features Fusion and Recognition Model Based on CNN -- Mouse Dynamics Based Bot Detection Using Sequence Learning -- A New Age-groups Classifying Method for Irrawaddy Dolphin -- Auricular Point Localization Oriented Region Segmentation for Human Ear -- Portrait Thangka Image Retrieval via Figure Re-dentification -- To See Facial Expressions Through Occlusions via Adversarial Disentangled Features Learning with 3D Supervision -- Automatically Distinguishing Adult from Young Giant Pandas Based on Their Call -- Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with BrainRegions -- A Deep Attention Transformer Network for Pain Estimation with Facial Expression Video -- Cognitive Analysis of EEG Signals Induced by Visual Stimulation of Facial Emotion -- 3D Context-Aware PIFu for Clothed Human Reconstruction -- Facial Expression Synthesis with Synchronous Editing of Face Organs -- Multi-lingual Hybrid Handwritten Signature Recognition Based on Deep Residual Attention Network -- Traumatic Brain Injury Images Classification Method Based on Deep Learning -- Palatal Rugae Recognition via 2D Fractional Fourier Transform -- Hand Biometrics -- Fusion of Partition Local Binary Patterns and Convolutional Neural Networks for Dorsal Hand Vein Recognition -- Pose-Specific 3D Fingerprint Unfolding -- Finger Vein Recognition Using A Shallow Convolutional Neural Network -- Finger Crystal Feature Recognition Based on Graph Convolutional Network -- Signatured Fingermark Recognition Based on Deep Residual Network -- Dorsal Hand Vein Recognition Based on Transfer Learning with Fusion of LBP Feature -- An Improved Finger Vein Recognition Model with A Residual Attention Mechanism -- A Lightweight CNN using HSIC Fine-tuning for Fingerprint Liveness Detection -- An Efficient Joint Bayesian Model with Soft Biometric Traits for Finger Vein Recognition -- A Novel Local Binary Operator Based on Discretization for Finger Vein Recognition -- A Generalized Graph Features Fusion Framework for Finger Biometric Recognition -- A STN-based Self-supervised Network for Dense Fingerprint Registration -- An Arcloss-based and Openset-test-oriented Finger Vein Recognition System -- Different Dimension Issues in Deep Feature Space for Finger-vein Recognition -- Facial Biometrics -- Holistic Co-occurrence Prior for High-density Face Detection -- Iris Normalization Beyond Appr-circular Parameter Estimation -- Non-Segmentation and Deep-Learning Frameworks for Iris Recognition -- Incomplete Texture Repair of Iris Based on Generative Adversarial Networks -- Deepfakes Detection Technology Basedon Multi Scale Fusion -- Balance Training for Anchor-free Face Detection -- One-Class Face Anti-spoofing Based on Attention Auto-encoder -- Full Quaternion Matrix and Random Projection for Bimodal Face Template Protection -- Kinship Verification via Reference List Comparison -- Face Attribute Estimation with HMAX-GCNet Model -- Wavelet-based Face Inpainting with Channel Relation Attention -- Monocular 3D Target Detection Based on Cross-modal and Mass Perceived Loss -- Low-quality 3D Face Recognition with Soft Thresholding -- Research on Face Degraded Image Generation Algorithm for Practical Application Scenes -- Embedding Fast Temporal Information Model to Improve Face Anti-spoofing -- Speech Biometrics -- Jointing Multi-task Learning and Gradient Reversal Layer for Far-field Speaker Verification -- Attention Network with GMM Based Feature for ASV Spoofing Detection -- Cross-corpus Speech Emotion Recognition Based on Sparse Subspace Transfer Learning -- Channel Enhanced Temporal-Shift Module for Efficient Lipreading -- Explore the Use of Self-supervised Pre-trained Acoustic Features on Disguised Speech Detection. 330 $aThe LNCS volume 12878 constitutes the proceedings of the 15th Chinese Conference on Biometric Recognition, held in Shanghai, China, in September 2021. The 53 papers presented in this book were carefully reviewed and selected from 72 submissions. The papers cover a wide range of topics such as multi-modal biometrics and emerging biometrics; hand biometrics; facial biometrics; and speech biometrics. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12878 606 $aBiometric identification 606 $aArtificial intelligence 606 $aComputer vision 606 $aPattern recognition systems 606 $aComputer engineering 606 $aComputer networks 606 $aBiometrics 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aComputer Engineering and Networks 615 0$aBiometric identification. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aBiometrics. 615 24$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aComputer Engineering and Networks. 676 $a006 702 $aFeng$b Jianjiang 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502662703321 996 $aBiometric Recognition$92556507 997 $aUNINA