Pattern Recognition

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.

CHATTY: 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.