Improved Deep Support Vector Data Description Model Using Feature Patching for Industrial Anomaly Detection by Wei Huang, Yongjie Li, Zhaonan Xu, Xinwei Yao, Rongchun Wan

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Tumor detection on bronchoscopic images by unsupervised learning by Qingqing Liu, Haoliang Zheng, Zhiwei Jia, Zhihui Shi

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Identifying biomarker-driven subphenotypes of cardiogenic shock: analysis of prospective cohorts and randomized controlled trialsResearch in context by Sabri Soussi, Tuukka Tarvasmäki, Antoine Kimmoun, Mojtaba Ahmadiankalati, Feriel Azibani, Claudia C. dos Santos, Kevin Duarte, Etienne Gayat, Jacob C. Jentzer, Veli-Pekka Harjola, Benjamin Hibbert, Christian Jung, Lassus Johan, Bruno Levy, Zihang Lu, Patrick R. Lawler, John C. Marshall, Janine Pöss, Malha Sadoune, Alexis Nguyen, Alexandre Raynor, Katell Peoc'h, Holger Thiele, Rebecca Mathew, Alexandre Mebazaa

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Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data by Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson

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SFDA-MEF: An Unsupervised Spacecraft Feature Deformable Alignment Network for Multi-Exposure Image Fusion by Qianwen Xiong, Xiaoyuan Ren, Huanyu Yin, Libing Jiang, Canyu Wang, Zhuang Wang

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Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN by Chanwoong Lee, Chanwoong Lee, Young Hun Yoon, Young Hun Yoon, Young Hun Yoon, Jiwon Sung, Jun Won Kim, Yeona Cho, Jihun Kim, Jaehee Chun, Jin Sung Kim, Jin Sung Kim, Jin Sung Kim

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MAGAN: Unsupervised Low-Light Image Enhancement Guided by Mixed-Attention by Renjun Wang, Bin Jiang, Chao Yang, Qiao Li, Bolin Zhang

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UnDER: Unsupervised Dense Point Cloud Extraction Routine for UAV Imagery Using Deep Learning by John Ray Bergado, Francesco Nex

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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

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Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria by Yang Zhou, Junpeng Zhao, Junping Wen, Ziyan Wu, Yongzhen Dong, Yiping Chen

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A spiking neural network for active efficient coding by Thomas Barbier, Céline Teulière, Jochen Triesch

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Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation by Minkyung Chung, Yongil Kim

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An end-to-end homography estimation method for large baseline scenes with an attention mechanism by Zuojiang LIN, Xu CAO, Wei CHEN, Yu BAI, Bo MI, Xuewei ZHANG, Hao FANG

Subjects: “…computer image processing; homography estimation; unsupervised learning; attention mechanism; data augmentation; deep learning…”
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A Distribution Agnostic Rank-Based Measure for Proximity Search by Mayur Garg, Ashutosh Nayak, Rajasekhara Reddy Duvvuru Muni

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Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment by Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

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Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks by Rocco Restaino

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Four-path unsupervised learning-based image defogging network by Wei LIU, Cheng CHEN, Rui JIANG, Tao LU

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Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic... by Alejandro Aybar-Flores, Alvaro Talavera, Elizabeth Espinoza-Portilla

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Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov–Arnold Network with Autoencoder Integration by Hengyu Wu, Zhu Jiang, Xiang Zhang, Jian Cheng

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Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network by Yazan Dayoub, Andrey V. Savchenko, Ilya Makarov

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