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ORCID27th ICPR 2024: Kolkata, India - Part IX
- 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 IX. Lecture Notes in Computer Science 15309, Springer 2025, ISBN 978-3-031-78188-9 - Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara:
Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning. 1-15 - Seongbeom Park, Haeji Jung, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Jinkyu Kim, Seunghyun Park:
Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning. 16-31 - Shibin Su, Zhaojie Chen, Guoqiang Liang, Shizhou Zhang, Yanning Zhang:
Dual Supervised Contrastive Learning Based on Perturbation Uncertainty for Online Class Incremental Learning. 32-47 - Chaoshun Hu, Biaohua Ye, Zixuan Chen, Jian-Huang Lai:
Breaking Information Silos: Global Guided Task Prediction for Class-Incremental Learning. 48-63 - Francesco Laiti, Benedetta Liberatori, Thomas De Min, Elisa Ricci:
Conditioned Prompt-Optimization for Continual Deepfake Detection. 64-79 - Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas:
Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading. 80-93 - Han Gao, Huiyuan Luo, Fei Shen, Zhengtao Zhang:
Orthogonal Latent Compression for Streaming Anomaly Detection in Industrial Vision. 94-110 - Liangxuan Guo, Yang Chen, Shan Yu:
Out-of-Distribution Forgetting: Vulnerability of Continual Learning to Intra-class Distribution Shift. 111-127 - Arnabi Mukherjee, Sourab Mandal, Paramartha Dutta:
Generating Multi-objective Fronts from Streamed Data Using Nested List. 128-143 - César D. Parga, Xosé M. Pardo, Carlos Vázquez Regueiro:
Mapping the Unknown: A New Approach to Open-World Video Recognition. 144-159 - Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari:
ESL: Explain to Improve Streaming Learning for Transformers. 160-175 - Aranyak Maity, Ayan Banerjee, Sandeep K. S. Gupta:
Detection of Unknown Errors in Human-Centered Systems. 176-191 - Yiran Song, Qianyu Zhou, Lizhuang Ma:
Source-Free Test-Time Adaptation For Online Surface-Defect Detection. 192-207 - Israel A. Laurensi R., Alceu de Souza Britto Jr., Jean Paul Barddal, Alessandro Lameiras Koerich:
Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models. 208-224 - Kangjun Lee, Simon S. Woo:
Satellite State Prediction and Maneuver Detection Analysis Using NCDEs. 225-241 - Minha Kim, Kishor Kumar Bhaumik, Amin Ahsan Ali, Simon S. Woo:
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection. 242-257 - Avinash Paidi, Istapriya Jagravi, Pabitra Mitra:
Rough Set Theoretic Approach for Solving the Multi-Armed Bandit Problems. 258-275 - Lening Li, Lei Luo, Yanguang Sun:
Hybrid Graph Representation Learning: Integrating Euclidean and Hyperbolic Space. 276-290 - Vivek Trivedy, Amani Almalki, Longin Jan Latecki:
Learning Object Focused Attention. 291-306 - Shangyu Chen, Xiaohao Yang, Pengfei Fang, Mehrtash Tafazzoli Harandi, Dinh Q. Phung, Jianfei Cai:
Stereographic Projection for Embedding Hierarchical Structures in Hyperbolic Space. 307-321 - Lingen Liu, Zixin Chen, Guang Chen:
SPCSE: Soft Positive Enhanced Contrastive Learning for Sentence Embeddings. 322-336 - Shangyu Chen, He Zhao, Viet H. Huynh, Dinh Q. Phung, Jianfei Cai:
Neural Topic Model with Distance Awareness. 337-352 - Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kévin Bailly:
Ontology-Guided Deep Metric Learning and Applications to Obstetrics. 353-367 - Revoti Prasad Bora, Philipp Terhörst, Raymond N. J. Veldhuis, Raghavendra Ramachandra, Kiran B. Raja:
CoFE: Consistency-Driven Feature Elimination for eXplainable AI. 368-382 - Songlong Xing, Elia Peruzzo, Enver Sangineto, Nicu Sebe:
From One to Many Lorikeets: Discovering Image Analogies in the CLIP Space. 383-399 - Hyunsoo Kim, Jun Hee Kim, Jaeman Son, Jihoon Song, Eunjo Lee:
A Framework for Mining Collectively-Behaving Bots in MMORPGs. 400-419 - M. Alex O. Vasilescu:
Causal Deep Learning. 420-438 - Yu Wang, Xiaoyan Zhao, Xingli Yang:
Non-symmetrical Confidence Interval of AUC Measure Based on Cross-Validation. 439-454 - Ethan Payne, David Patrick, Amanda S. Fernandez:
Visualizing and Generalizing Integrated Attributions. 455-470
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