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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…mehr
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.
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Inhaltsangabe
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.
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.
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