LEADER 01350nam0-22004331i-450- 001 990006809820403321 005 20091006103711.0 010 $a88-14-04913-0 035 $a000680982 035 $aFED01000680982 035 $a(Aleph)000680982FED01 035 $a000680982 100 $a20010426d1994----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aRegionalismo economico e sistema globale degli scambi$fGiorgio Sacerdoti, Sergio Alessandrini 210 $aMilano$cGiuffrè$dc1994 215 $aVIII, 406 p.$d24 cm 225 1 $aCollana del Dipartimento di scienze giuridiche, Università degli studi di Bergamo 610 0 $aGATT 610 0 $aIntegrazione economica regionale$aEuropa 610 0 $aIntegrazione economica regionale e commercio internazionale 676 $a341.75 700 1$aSacerdoti,$bGiorgio$0127156 701 1$aAlessandrini,$bSergio$088823 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006809820403321 952 $aUNIV. 238 (1)$b24815$fFSPBC 952 $aXXVII 310$b456$fDDCIC 952 $aO/1.240 SAC$b15469$fSES 952 $aDI XXI-142$b13848$fDEC 959 $aFSPBC 959 $aDDCIC 959 $aSES 959 $aDEC 996 $aRegionalismo economico e sistema globale degli scambi$9633392 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