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ORCID27th ICPR 2024: Kolkata, India - Part XXIV
- Apostolos Antonacopoulos
, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIV. Lecture Notes in Computer Science 15324, Springer 2025, ISBN 978-3-031-78382-1 - Jyoti Patel, Soumen Mandal, Malay Bhattacharyya:
Judgment Analysis in a Streaming Setting Incurring Logarithmic Space of the Annotators. 1-15 - Vlad Hondru, Radu Tudor Ionescu:
Active Self-paced Knowledge Distillation and Diffusion-Based Generation for Few-Call Model Stealing. 16-30 - Truong Thanh Nguyen, Eyad Elyan, Truong Dang, Tien Thanh Nguyen, Martin Longmuir:
A Novel Ensemble Aggregation Method Based on Deep Learning Representation. 31-46 - Koustav Kumar Mondal, Debasis Das:
GUARDEV: Guided Unified Adaptive Response for Defending Electric Vehicles. 47-62 - Rafic Nader, Vincent L'Allinec, Romain Bourcier, Florent Autrusseau:
Synthetic Vascular Models : Application to Bifurcation Classification and Aneurysm Detection. 63-77 - Liangchen Chen, Shu Gao, Zixuan Wei, Baoxu Liu, Xu-Yao Zhang:
ENS-RFMC: An Encrypted Network Traffic Sampling Method Based on Rule-Based Feature Extraction and Multi-hierarchical Clustering for Intrusion Detection. 78-92 - Manuele Bicego, Hafiz Ahmad Hassan:
An Extension of Random Forest-Clustering Schemes Which Works with Partition-Level Constraints. 93-108 - Abderrahim Mechache, Hamamache Kheddouci:
Enhancing Protein Classification with Graph Convolutional Neural Networks. 109-124 - Houshen Lin, Jian Hou, Huaqiang Yuan:
Adaptive Nearest Neighbor Density Peak Clustering Based on Fuzzy Logic. 125-139 - Zhaoyang Wang, Shuo Wang:
Zero-shot Automated Class Imbalanced Learning. 140-155 - Zhaoyang Wang, Shuo Wang:
Online Automated Imbalanced Learning via Adaptive Thompson Sampling. 156-172 - Pradipta K. Banerjee:
Phase-Encoded Cascaded Autoencoders based Correlation Filters and Adaptive Thresholding for Illumination Invariant Face Recognition. 173-189 - Wei Cheng, Hongrui Ye, Xiao Wen, Jiachen Zhang, Jiping Xu, Feifan Zhang:
Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless Compressors. 190-205 - Sanjay Kumar, Reshma Rastogi:
Addressing Multi-Label Learning with Missing Labels via Feature Relevance guided Scaled Model Coefficients. 206-222 - Reshma Rastogi, Dev Nirwal:
Hypergraph Regularized Semi-supervised Least Squares Twin Support Vector Machine for Multilabel Classification. 223-237 - Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Transformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction. 238-254 - Xiaodan Shi, Haoran Zhang, Ryosuke Shibasaki, Jinyue Yan:
Learning Social and Physical Compliant Multi-modal Futures. 255-269 - Sayarnil Ganguly, Sanjana Reddy Katham, Sanyam Agrawal, Soumen Sinha, Rahul Roy:
Hierarchical Ensemble of AutoEncoder for Restoration of Images Corrupted by Cumulative Combination of Noise. 270-283 - Wenjie Zhao, Qiuming Luo:
Leveraging Computer Vision for Automatic Modulation Classification: Insights from Spectrum and Constellation Diagram Analysis. 284-294 - Yu Feng, Cong Wu, Yuan Zhou:
DG2Net: A MLP-Based Dynamixing Gate and Depthwise Group Norm Network for Classification of Glaucoma. 295-308 - Jayanta Paul, Abhijit Mitra, Somak Sanyal, Jaya Sil:
SocialFaceEmoNet: A Deep Architecture for Social Media Face Recognition and Emotion Detection Using Customized Datasets. 309-327 - Venkataramana Kini, Ravi Divvela, Devendra Yadav, Unmesh Phadke, Narayanan Sadagopan:
POCN: Long Term Propensity, Occasional Exploration, Contention Relevance and Neighborhood Diversity Driven Prime Video Page Composition. 328-342 - Xianda Zhang, Siyuan Liang, Chengyang Li:
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis. 343-358 - Xu Ouyang, Ying Chen, Kaiyue Zhu, Gady Agam:
Fine-grained Text to Image Synthesis. 359-373 - Yulong Xia, Jianwei Zhang:
ORA-Trans: Object Region Attention Transformer Based on Key Tokens Selector with Structure Feature Modeling for Fine-Grained Visual Classification. 374-389 - Evgeny Hershkovitch Neiterman, Gil Ben-Artzi:
ChannelDropBack: Forward-Consistent Stochastic Regularization for Deep Networks. 390-400 - Yunxiang Cao, Li Chen, Yubo Wang, Zhida Feng, Jing Tian:
DD-Net: Dynamic Network Architecture for Optimized Curve Segmentation and Reduce Computational Redundancy. 401-416 - Wanjing Zhang, Xiaotian Zhu, Jianjun Zhang, Yuan Guo, Jun Tao, Min Zhu:
MCFM: Multi Channel-Frequency Mamba-Based Model for Flight Trajectory Prediction. 417-430 - Lingjiao Wang, Lingwei Meng, Hua Guo:
Multi-objective Balanced Task Offloading in Vehicular Networks Based on Edge Computing. 431-446 - Tianping Li, Mengdi Zhu, Zhenyi Zhang, Zhiqiang Yang:
BiPA-Net: An Effective Tiny-Object Detection Model in Aerial Images. 447-463
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