Pattern Recognition and Computer Vision (Record no. 187201)
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| fixed length control field | 08636nam a22007095i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-18910-4 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423130315.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221012s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031189104 |
| -- | 978-3-031-18910-4 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-18910-4 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1501-1820 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1634 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Pattern Recognition and Computer Vision |
| Medium | [electronic resource] : |
| Remainder of title | 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4–7, 2022, Proceedings, Part II / |
| Statement of responsibility, etc | edited by Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2022. |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| -- | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVIII, 723 p. 264 illus., 237 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume number/sequential designation | 13535 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Biomedical Image Processing and Analysis -- ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection -- BiDFNet: Bi-decoder and Feedback Network for Automatic Polyp Segmentation with Vision Transformers -- FundusGAN: A One-Stage Single Input GAN for Fundus Synthesis -- DIT-NET: Joint Deformable Network and Intra-class Transfer GAN for cross-domain 3D Neonatal Brain MRI segmentation -- Classification of sMRI Images for Alzheimer's Disease by Using Neural Networks -- Semi-Supervised Distillation Learning Based on Swin Transformer for MRI Reconstruction -- Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification -- Automatic glottis segmentation method based on lightweight U-net -- Decouple U-Net: A Method for the Segmentation and Counting of Macrophages in Whole Slide Imaging -- A Zero-training Method for RSVP-based Brain Computer Interface -- An improved tensor network for image classification in histopathology -- DeepEnReg: Joint Enhancement and Ane Registration for Low-contrast Medical Images -- Fluorescence Microscopy Images Segmentation based on Prototypical Networks with a few Annotations -- SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image -- Cascade Multiscale Swin-Conv Network for Fast MRI Reconstruction -- DEST: Deep Enhanced Swin Transformer toward Better Scoring for NAFLD -- CTCNet: A Bi-directional Cascaded Segmentation Network Combining Transformers with CNNs for Skin Lesions -- MR Image Denoising Based On Improved Multipath Matching Pursuit Algorithm -- Statistical characteristics of 3-D PET imaging: a comparison between conventional and total-body PET scanners -- Unsupervised medical image registration based on multi-scale cascade network -- A Novel Local-global Spatial Attention Network for Cortical Cataract Classification in AS-OCT -- PRGAN:A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal fundus Photography -- Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction -- Robust Liver Segmentation Using Boundary Preserving Dual Attention Network -- msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation -- Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning -- MultiGAN: multi-domain image translation from OCT to OCTA_ TransPND: A Transformer based Pulmonary Nodule Diagnosis Method on CT Image -- Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment -- A 2.5D Coarse-to-fine Framework for 3D Cardiac CT View Planning -- Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection -- DPformer: Dual-path transformers forgeometric and appearance features reasoning in diabetic retinopathy grading -- Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography -- Manifold-Driven and Feature Replay Lifelong Representation Learning on Person ReID -- Multi-source information-shared domain adaptation for EEG emotion recognition -- Spatial-Channel Mixed Attention based Network for Remote Heart Rate Estimation -- Weighted Graph Based Feature Representation for Finger-Vein Recognition -- Self-Supervised Face Anti-Spoofng via Anti-Contrastive Learning -- Counterfactual Image Enhancement for Explanation of Face Swap Deepfakes -- Improving Pre-trained Masked Autoencoder with Locality Enhancement for Person Re-identification -- MINIPI : a MultI-scale Neural network based impulse radio ultra-wideband radar Indoor Personnel Identification method -- PSU-Net: Paired Spatial U-Net for hand segmentation with complex backgrounds -- Pattern Classification and Clustering -- Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading -- Learning to Cluster Faces with Mixed Face Quality -- Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data -- Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering -- Combating Noisy Labels via Contrastive Learning with Challenging Pairs -- Semantic Center Guided Windows Attention Fusion Framework for Food Recognition -- Adversarial Bidirectional Feature Generation for Generalized Zero-Shot Learning under Unreliable Semantics -- Exploiting Robust Memory Features for Unsupervised Reidentification -- TIR: A Two-stage Insect Recognition method for convolutional neural network -- Discerning Coteaching: A Deep Framework for Automatic Identification of Noise Labels -- VDSSA: Ventral & Dorsal Sequential Self-attention AutoEncoder for Cognitive-Consistency Disentanglement -- Bayesian Neural Networks with Covariate Shift Correction for Classification in -ray Astrophysics. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image processing |
| General subdivision | Digital techniques. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Application software. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Education |
| General subdivision | Data processing. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer and Information Systems Applications. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Engineering and Networks. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computers and Education. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yu, Shiqi. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhang, Zhaoxiang. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yuen, Pong C. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Han, Junwei. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tan, Tieniu. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Guo, Yike. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lai, Jianhuang. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhang, Jianguo. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031189098 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031189111 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Computer Science, |
| -- | 1611-3349 ; |
| Volume number/sequential designation | 13535 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-18910-4">https://doi.org/10.1007/978-3-031-18910-4</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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