LEADER 05455nam 22006015 450 001 9910983078603321 005 20241202144630.0 010 $a9783031781667 010 $a303178166X 024 7 $a10.1007/978-3-031-78166-7 035 $a(MiAaPQ)EBC31810910 035 $a(Au-PeEL)EBL31810910 035 $a(CKB)36738991800041 035 $a(DE-He213)978-3-031-78166-7 035 $a(EXLCZ)9936738991800041 100 $a20241202d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition $e27th International Conference, ICPR 2024, Kolkata, India, December 1?5, 2024, Proceedings, Part II /$fedited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (517 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15302 311 08$a9783031781650 311 08$a3031781651 327 $aCHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation -- FedSOKD-TFA: Federated Learning with Stage-Optimal Knowledge Distillation and Three-Factor Aggregation -- DualViT: A Hierarchical Vision Transformer for Broad and Fine Class Embeddings -- Establishing Interconnections of Similarity-based Classifiers for Multi-label Learning with Missing Labels -- GL-TSVM: A robust and smooth twin support vector machine with guardian loss function -- An Approach Towards Learning K-means-friendly Deep Latent Representation -- PulmoNetX: A Hybrid Vision Transformer Approach for Multi-scale Spatial Feature Reduction in Pneumonia Classification -- Federated K-Means clustering -- Feature selection voting strategies and hyperparameter tuning in a boosting classification -- Advancing 3D Mesh Analysis: A Graph Learning Approach for Intersecting 3D Geometry Classification -- Efficient Classification of Histopathology Images using Highly Imbalanced Data -- GenFormer - Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets -- Recognizing Patterns of Parkinson?s Disease using Online Trail Making Test and Response Dynamics ? Preliminary Study -- Regularization of Interpolation Kernel Machines -- Task Success Classification with Final State of Future Prediction for Robot Control Planning -- EGOFALLS: A visual-audio dataset and benchmark for fall detection using egocentric cameras -- Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data -- PolSAR Image Classification Using Complex-Valued Squeeze and Excitation Network -- Probabilistic Fusion Framework Combining CNNs and Graphical Models for Multiresolution Satellite and UAV Image Classification -- Multiscale Color Guided Attention Ensemble Classifier for Age-Related Macular Degeneration using Concurrent Fundus and Optical Coherence Tomography images -- PolSAR Image Classification Using Superpixel Profile and CNN -- Know How Much Sensitive Precision and Recall Validity Measures Are? -- Optimizing Software Release Management with GPT-Enabled Log Anomaly Detection -- Patch-based Prototypical Cross-Scale Attention Network for Anomaly Detection -- Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition -- Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling -- Label-Specific Multi-Label Classification with Entropy Guided Clustering -- FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification -- Fusing Image and Text Features for Scene Sentiment Analysis using Whale-Honey Badger Optimization Algorithm (WHBOA) -- EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder. 330 $aThe multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1?5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15302 606 $aComputer vision 606 $aMachine learning 606 $aComputer Vision 606 $aMachine Learning 615 0$aComputer vision. 615 0$aMachine learning. 615 14$aComputer Vision. 615 24$aMachine Learning. 676 $a006.37 700 $aAntonacopoulos$b Apostolos$0885419 701 $aChaudhuri$b Subhasis$0846530 701 $aChellappa$b Rama$0491442 701 $aLiu$b Cheng-Lin$0861045 701 $aBhattacharya$b Saumik$01782600 701 $aPal$b Umapada$01782601 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983078603321 996 $aPattern Recognition$94309011 997 $aUNINA