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Pattern Recognition Letters, Volume 184
Volume 184, 2024
- Tao Wang, Weibin Xi, Yong Cheng, Hao Han, Yang Yang:
RL-NBV: A deep reinforcement learning based next-best-view method for unknown object reconstruction. 1-6 - Wen Han, Xinghao Yang
, Baodi Liu, Kai Zhang, Weifeng Liu
Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks. 7-13 - Dapeng Wu
Social domain integrated semantic self-discovery method for recommendation. 21-27 - Mehul Kumar, Rhythumwinder Singh, Prerana Mukherjee:
VTHSC-MIR: Vision Transformer Hashing with Supervised Contrastive learning based medical image retrieval. 28-36 - Ismael Benito-Altamirano
Reading QR Codes on challenging surfaces using thin-plate splines. 37-43 - Guoguo Ai, Yuan Gao, Huan Wang, Xin Li, Jin Wang, Hui Yan:
Neighbors selective Graph Convolutional Network for homophily and heterophily. 44-51 - Zhiyi Yang, Zhou Zhao, Yuliang Gu, Yongchao Xu:
Query-guided generalizable medical image segmentation. 52-58 - Zhenxiang Pan, Yingchi Mao, Li Xiong, Tianfu Pang, Ping Ping
MFAE: Multimodal Fusion and Alignment for Entity-level Disinformation Detection. 59-65 - Caroline Mazini Rodrigues
Transforming gradient-based techniques into interpretable methods. 66-73 - Foued Saâdaoui
Structural self-similarity pattern in global food prices: Utilizing a segmented multifractal detrended fluctuation analysis. 74-79 - Huiqing Qi
Edge-preserving image restoration based on a weighted anisotropic diffusion model. 80-88 - Ziqiang Hu
Self-supervised assisted multi-task learning network for one-shot defect segmentation with fake defect generation. 89-96 - Cencheng Shen
Discovering the signal subgraph: An iterative screening approach on graphs. 97-102 - Moshe Eliasof
Global-local graph neural networks for node-classification. 103-110 - Jose Divasón
Zigzag persistence for image processing: New software and applications. 111-118 - Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini
Latent spectral regularization for continual learning. 119-125 - Alireza Esmaeilzehi
HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments. 126-132 - Chanjong Park, Eunwoo Kim
Self-supervised learning with automatic data augmentation for enhancing representation. 133-139 - Hao Huang
Learning to learn point signature for 3D shape geometry. 140-147 - Lingkai Zhu
HDRfeat: A feature-rich network for high dynamic range image reconstruction. 148-154 - Yiyang Chen
Neural network based cognitive approaches from face perception with human performance benchmark. 155-161 - Lakshmi Annamalai, Chetan Singh Thakur:
Beyond supervision: An unsupervised spatio-temporal point cloud noise modeling for event vision sensor. 162-168 - Pramukha R. N., Akhila P.
End-to-end latent fingerprint enhancement using multi-scale Generative Adversarial Network. 169-175 - Michele Alziati, Fiore Amarù
Ensemble clustering via synchronized relabelling. 176-182 - Yijie Wang, Jindong Xu, Zongbao Liang, Qianpeng Chong, Xiang Cheng:
FDM: Document image seen-through removal via Fuzzy Diffusion Models. 183-189 - Liyin Qian
Student State-aware knowledge tracing based on attention mechanism: A cognitive theory view. 190-196 - Rudresh Dwivedi
An efficient ensemble explainable AI (XAI) approach for morphed face detection. 197-204 - Taejune Kim
Patch-wise vector quantization for unsupervised medical anomaly detection. 205-211 - Ufuk Can Biçici, Tuna Han Salih Meral
Conditional Information Gain Trellis. 212-218 - Aldo Moscatelli, Jason Piquenot
Graph node matching for edit distance. 14-20 - Yonghyun Jeong, Doyeon Kim, Pyounggeon Kim, Youngmin Ro, Jongwon Choi
Self-supervised scheme for generalizing GAN image detection. 219-224 - Yuan Shi
DSR-Diff: Depth map super-resolution with diffusion model. 225-231 - Yuanhao Yue
Deep motion estimation through adversarial learning for gait recognition. 232-237 - Antonio Javier Gallego, Manuel J. Marín-Jiménez, Raquel Justo, Hélder Oliveira, Antonio Pertusa:
Editorial: Special session on IbPRIA 2023. 238 - Albert Tatjer, Bhalaji Nagarajan
Decoding class dynamics in learning with noisy labels. 239-245
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