Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part II / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal.

Format:

• Book

Author/Creator:

• Antonacopoulos, Apostolos.

Contributor:

• Chaudhuri, Subhasis.
• Chellappa, Rama.
• Liu, Cheng-Lin.
• Bhattacharya, Saumik.
• Pal, Umapada.

Series:

• Lecture Notes in Computer Science, 1611-3349 ; 15302

Language:

English

Subjects (All):

• Computer vision.
• Machine learning.
• Computer Vision.
• Machine Learning.

Local Subjects:

• Computer Vision.
• Machine Learning.

Physical Description:

1 online resource (517 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

Contents:

• 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.

ISBN:

• 9783031781667
• 303178166X