Pattern Recognition 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXIX /

The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Antonacopoulos, Apostolos (Editor), Chaudhuri, Subhasis (Editor), Chellappa, Rama (Editor), Liu, Cheng-Lin (Editor), Bhattacharya, Saumik (Editor), Pal, Umapada (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:Lecture Notes in Computer Science, 15329
Subjects:
Online Access:https://doi.org/10.1007/978-3-031-78110-0
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-78110-0
003 DE-He213
005 20260706115656.0
007 cr nn 008mamaa
008 241202s2025 sz | s |||| 0|eng d
020 |a 9783031781100  |9 978-3-031-78110-0 
024 7 |a 10.1007/978-3-031-78110-0  |2 doi 
050 4 |a TA1634 
072 7 |a UYQV  |2 bicssc 
072 7 |a COM016000  |2 bisacsh 
072 7 |a UYQV  |2 thema 
082 0 4 |a 006.37  |2 23 
245 1 0 |a Pattern Recognition  |h [electronic resource] :  |b 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXIX /  |c edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal. 
250 |a 1st ed. 2025. 
264 1 |a Cham :  |b Springer Nature Switzerland :  |b Imprint: Springer,  |c 2025. 
300 |a XXXVII, 462 p. 145 illus., 134 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 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Computer Science,  |x 1611-3349 ;  |v 15329 
505 0 |a Optimizing Personalized Robot Actions with Ranking of Trajectories -- Synthesizing operationally safe controllers for human-in-the-loop human-in-the-plant hybrid close loop systems -- Multi-Frequency Fine-Grained Matching for Audio-Visual Segmentation -- Confidence-Guided Feature Alignment for Cloth-Changing Person Re-identification -- Fair Latent Representation Learning with Adaptive Reweighing -- FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features -- One-factor Cancelable Biometric Template Protection Scheme for Real-valued Features -- Multi-Teacher Invariance Distillation for Domain-Generalized Action Recognition -- ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recognition -- Spatio-Temporal Domain-Aware Network for Skeleton-based Action Representation Learning -- Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos -- Multi-Teacher Importance Preserving Knowledge Distillation for Early Violence Prediction -- Improving Temporal Action Segmentation and Detection with Hierarchical Task Grammar -- Hybrid Human Action Anomaly Detection based on Lightweight GNNs and Machine Learning -- Zero-Shot Spatio-Temporal Action Detection by Enhancing Context-Relation Capability of Vision-Language Models -- Nonlinear progressive denoising: a universal regularized denoising strategy for low PSNR images -- Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement -- Composite Concept Extraction through Backdooring -- Guided SAM: Label-Efficient Part Segmentation -- Multidimensional Cross-Reconstructed Networks for Few-Shot Fine-Grained Image Classification -- Symmetric masking strategy enhances the performance of Masked Image Modeling -- Multiplicative RMSprop using gradient normalization for learning acceleration -- TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings -- Evidential Federated Learning for Skin Lesion Image Classification -- Adaptive Text Feature Updating for Visual-Language Tracking -- TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction -- Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection -- Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels -- Environment-Independent Fusion for Robust Object Detection in Adverse Environments -- Transformer-based RGB and LiDAR Fusion for Enhanced Object Detection. 
520 |a The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics. 
650 0 |a Computer vision. 
650 0 |a Machine learning. 
650 1 4 |a Computer Vision. 
650 2 4 |a Machine Learning. 
700 1 |a Antonacopoulos, Apostolos.  |e editor.  |0 (orcid)0000-0001-9552-0233  |1 https://orcid.org/0000-0001-9552-0233  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Chaudhuri, Subhasis.  |e editor.  |0 (orcid)0000-0002-1680-0016  |1 https://orcid.org/0000-0002-1680-0016  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Chellappa, Rama.  |e editor.  |0 (orcid)0000-0002-7638-1650  |1 https://orcid.org/0000-0002-7638-1650  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Liu, Cheng-Lin.  |e editor.  |0 (orcid)0000-0002-6743-4175  |1 https://orcid.org/0000-0002-6743-4175  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Bhattacharya, Saumik.  |e editor.  |0 (orcid)0000-0003-1273-7969  |1 https://orcid.org/0000-0003-1273-7969  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Pal, Umapada.  |e editor.  |0 (orcid)0000-0002-5426-2618  |1 https://orcid.org/0000-0002-5426-2618  |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 9783031781094 
776 0 8 |i Printed edition:  |z 9783031781117 
830 0 |a Lecture Notes in Computer Science,  |x 1611-3349 ;  |v 15329 
856 4 0 |u https://doi.org/10.1007/978-3-031-78110-0 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-SXPS 
912 |a ZDB-2-LNC 
912 |a ZDB-2-241 
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 Computer Vision and Pattern Recognition (SpringerNature-85411)