Neural Information Processing 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VIII /
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected...
Պահպանված է:
| Համատեղ հեղինակ: | |
|---|---|
| Այլ հեղինակներ: | , , , , , |
| Ձևաչափ: | Էլեկտրոնային էլ․ գիրք |
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Հրատարակություն: | 1st ed. 2025. |
| Շարք: | Lecture Notes in Computer Science,
15293 |
| Խորագրեր: | |
| Առցանց հասանելիություն: | https://doi.org/10.1007/978-981-96-6596-9 |
| Ցուցիչներ: |
Ավելացրեք ցուցիչ
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-981-96-6596-9 | ||
| 003 | DE-He213 | ||
| 005 | 20260706121036.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 250607s2025 si | s |||| 0|eng d | ||
| 020 | |a 9789819665969 |9 978-981-96-6596-9 | ||
| 024 | 7 | |a 10.1007/978-981-96-6596-9 |2 doi | |
| 050 | 4 | |a QA76.9.D343 | |
| 072 | 7 | |a UNF |2 bicssc | |
| 072 | 7 | |a UYQE |2 bicssc | |
| 072 | 7 | |a COM021030 |2 bisacsh | |
| 072 | 7 | |a UNF |2 thema | |
| 072 | 7 | |a UYQE |2 thema | |
| 082 | 0 | 4 | |a 006.312 |2 23 |
| 245 | 1 | 0 | |a Neural Information Processing |h [electronic resource] : |b 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VIII / |c edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2025. | |
| 300 | |a XXXIII, 459 p. 164 illus., 161 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 15293 | |
| 505 | 0 | |a Generalized Multi-Scale Separable EPI Information for Light Field Image Super-Resolution -- ForgeryGPT: Cross-domain Face Forgery Detection using Large Vision-Language Models -- MFCA: Multimodal Object Detection based on Feature Calibration and Aggregation -- Omnidirectional Linear Attention Module for Penalty Shootout Video Understanding -- UOA-RCNN: detect anything with Unknown Object Aware RCNN -- WOODWIND: Few-shot Object Detector with Knowledge Distillation -- LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration -- LSReGen: Large-Scale Regional Generator via Backward Guidance Framework -- AAFE-Net:Agent-Based Adaptive Feature Enhanced Network for Leather Defect Detection -- AA-RPN: Adaptive Anchor-based Region Proposal Network for Remote Sensing Object Detection -- Asterisk sparse convolutional networks for 3D object detection Shifted Window Fourier Transform And Retention For Image Captioning -- FOPS-V: Feature-Aware Optimization and Parallel Scale Fusion for 3D Human Reconstruction in Video -- PEBTrack: A Performance-Efficiency Balance Tracker for Aerial Scenario -- Multi-Scale Spatial-Angular Information Aggregation Network for Image Semantic Segmentation -- Enhancing Semi-Supervised Medical Image Segmentation with Asymmetric and Adversarial Cooperative Training -- Face Super-Resolution Using Covariation-Guided Orthonormalized Partial Least Squares -- SegDaemon: Actively Protecting Semantic Segmentation Models Against Intellectual Property Infringement -- Contrastive Diffusion Generative Adversarial Network for Generalized Zero-Shot Learning -- MASR: Efficient Multi-Attention Network For Single Image Super-Resolution -- YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images -- Correlation-Guided Image-to-Video Transfer Learning for Video Recognition -- Contrastive learning for free-view image compression network -- Enriching Degradation Features for Fundus Image Enhancement via Multi-colour Dynamic Filter Network -- -Code: Simple Temporal Latent Code for Efficient Dynamic View Synthesis -- A Semantic Segmentation Method for Skin Lesion Images Based on ViT -- Multi-scale Feature Edge Enhancement for Multi-view Stereo -- Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation -- How to Efficiently Use Color and Temporal Information for Video Understanding -- Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement -- BBLMixSTE:Barbell Tokenizer for Autism Spectrum Disorder Video Reconstruction. | |
| 520 | |a The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 1 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 700 | 1 | |a Mahmud, Mufti. |e editor. |0 (orcid)0000-0002-2037-8348 |1 https://orcid.org/0000-0002-2037-8348 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Doborjeh, Maryam. |e editor. |0 (orcid)0000-0003-4953-0662 |1 https://orcid.org/0000-0003-4953-0662 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Wong, Kevin. |e editor. |0 (orcid)0000-0001-8767-1031 |1 https://orcid.org/0000-0001-8767-1031 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Leung, Andrew Chi Sing. |e editor. |0 (orcid)0000-0003-0962-6723 |1 https://orcid.org/0000-0003-0962-6723 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Doborjeh, Zohreh. |e editor. |0 (orcid)0000-0003-1431-8258 |1 https://orcid.org/0000-0003-1431-8258 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Tanveer, M. |e editor. |0 (orcid)0000-0002-5727-3697 |1 https://orcid.org/0000-0002-5727-3697 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789819665983 |
| 776 | 0 | 8 | |i Printed edition: |z 9789819665976 |
| 830 | 0 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 15293 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-981-96-6596-9 |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 912 | |a ZDB-2-SXPS | ||
| 912 | |a ZDB-2-LNC | ||
| 912 | |a ZDB-2-242 | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||
| 950 | |a Springer Nature Proceedings Computer Science (SpringerNature-85344) | ||
| 950 | |a Focus Bundle Data, Security and Privacy (SpringerNature-85412) | ||