Results 111 to 120 of about 82,326 (277)

Boosting for Unsupervised Domain Adaptation [PDF]

, 2013
To cope with machine learning problems where the learner receives data from different source and target distributions, a new learning framework named domain adaptation DA has emerged, opening the door for designing theoretically well-founded algorithms.
Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban   +2 more
openaire   +1 more source

HMGB2–RAD21 Axis Promotes Fibro/Adipogenic Progenitor Proliferation and Regulates Fat Infiltration

Advanced Science, EarlyView.
This study constructed the first developmental atlas of embryonic skeletal muscle fibro/adipogenic progenitors (FAPs) and identified an HMGB2+ FAPs subpopulation that regulates FAP pool size and muscle homeostasis. HMGB2 directly targets the RAD21 promoter, and its knockout significantly reduces FAP numbers, thereby lowering the potential for ...
Xian Tong, Ziyun Liang, Tianqi Duo, Liping Pan, Qi Zhu, Jiete Liang, Xianyao Luo, Qingcai Feng, Rong Xu, Yihao Liu, Xu Chen, Luxi Chen, Xiaohong Liu, Yaosheng Chen, Delin Mo   +14 more
wiley   +1 more source

CSTrans: cross-subdomain transformer for unsupervised domain adaptation

Complex & Intelligent Systems
Unsupervised domain adaptation (UDA) aims to make full use of a labeled source domain data to classify an unlabeled target domain data. With the success of Transformer in various vision tasks, existing UDA methods borrow strong Transformer framework to ...
Junchi Liu, Xiang Zhang, Zhigang Luo
doaj   +1 more source

Context-Aware Feature Adaptation for Mitigating Negative Transfer in 3D LiDAR Semantic Segmentation

Remote Sensing
Semantic segmentation of 3D LiDAR point clouds is crucial for autonomous driving and urban modeling but requires extensive labeled data. Unsupervised domain adaptation from synthetic to real data offers a promising solution, yet faces the challenge of ...
Lamiae El Mendili, Sylvie Daniel, Thierry Badard   +2 more
doaj   +1 more source

GlycoChat Uncovers Glycan–Lectin Circuits in the Tumor Microenvironment of Pancreatic Cancer

Advanced Science, EarlyView.
Aberrant glycosylation drives cancer progression, yet its role in the tumor microenvironment remains unclear. We developed GlycoChat to map glycan–lectin circuits at single‐cell resolution. We discovered that cancer cells induce immunosuppressive macrophage differentiation and impair phagocytosis through interactions with CLEC10A and SIGLEC3 ...
Dinh Xuan Tuan Anh, Sunanda Keisham, Arun Burramsetty, Lalhaba Oinam, Koichiro Kumano, Akihiro Kuno, Osamu Shimomura, Tatsuya Oda, Hiroaki Tateno   +8 more
wiley   +1 more source

EDIF: boosting unsupervised cross-domain forest fire smoke detection with enhanced domain-invariant features

Geomatics, Natural Hazards & Risk
In forest fire smoke detection tasks, variations in data distribution caused by deployment environments, acquisition devices, and smoke characteristics, along with the scarcity of fire incidents, make it difficult for models to generalize across all ...
Peixian Jin, Xuhong Feng, Pengle Cheng, Mingyu Wang, Xiaodong Liu, Ying Huang   +5 more
doaj   +1 more source

Autophagy Activators Normalize Aberrant Tau Proteostasis and Rescue Synapses in Human Familial Alzheimer's Disease iPSC‐Derived Cortical Organoids

Advanced Science, EarlyView.
A new cerebrocortical organoid model using isogenic hiPSCs with familial Alzheimer's mutations recapitulates key AD features, including amyloid‐beta and phospho‐Tau aggregation, neuronal hyperexcitability, and synapse loss. Single‐cell RNA‐seq reveals aberrant pathways in excitatory and inhibitory neurons.
Sergio R. Labra, Jadon Compher, Akhil Prabhavalkar, Mireya Almaraz, Claudia Cedeño Kwong, Christine Baal, Maria Talantova, Nima Dolatabadi, Julian Piña‐Sanz, Yubo Wang, Leonard Yoon, Swagata Ghatak, Zi Gao, Yuting Zhang, Dorit Trudler, Lynee Massey, Wei Lin, Anthony Balistreri, Michael Bula, Nicholas J. Schork, Tony S. Mondala, Steven R. Head, Jeffery W. Kelly, Stuart A. Lipton   +23 more
wiley   +1 more source

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Dwelling information is essential for humanitarian emergency response during or in the aftermath of disasters, especially in temporary settlement areas hosting forcibly displaced people.
Getachew Workineh Gella, Charlotte Pelletier, Sebastien Lefevre, Lorenz Wendt, Dirk Tiede, Stefan Lang   +5 more
doaj   +1 more source

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, EarlyView.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao, Jiakang Shao, Quanzhi Li, Yizhou Tan, Liangliang Huang, Xiaorong Xu, Ji Qi, Julin Xiao, Wenwen Li, Zhong Wen, Le Wang, Xu Liu, Qing Yang, Ying Gu   +13 more
wiley   +1 more source

Frequency-Aware Unsupervised Domain Adaptation for Semantic Segmentation of Laparoscopic Images

Applied Sciences
Semantic segmentation of laparoscopic images requires costly pixel-level annotations, which are often unavailable for real surgical data. This gives rise to an unsupervised domain adaptation scenario, where labeled synthetic images serve as the source ...
Huiwen Dong, Gaofeng Zhang
doaj   +1 more source