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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031781667

303178166X

OCLC:

1477225869