Results 1 to 10 of about 660,377 (283)
TaCD: Team-Aware Community Detection Based on Multi-View Modularity [PDF]
EntropyCommunity detection in social networks is one of the most important topics of network science. Researchers have developed numerous methods from various perspectives.
Chengzhou Fu +4 more
doaj +2 more sources
Incomplete Multi-view Classification via Discriminative and Sparse Representation
Jisuanji kexue yu tansuo, 2021 Generally, the traditional multi-view learning methods assume that all samples are completed in all views. However, this assumption often fails in real applications because of limited access to data, equipment malfunc-tion, as well as occlusion and so on.
XIN Like, YANG Wanqi, YANG Ming
doaj +1 more source
Skin Lesion Classification by Multi-View Filtered Transfer Learning
IEEE Access, 2021 Skin cancer is one of the most deadly cancer types with considerable number of patients. Image analysis has largely improved the automated diagnosis accuracy for malignant melanoma and other pigmented skin lesions, compared to unaided visual examination.
Jianxiao Bian +4 more
doaj +1 more source
Bioengineering, 2023 Early detection is crucial for the survival and recovery of lung cancer patients. Computer-aided diagnosis system can assist in the early diagnosis of lung cancer by providing decision support.
Yanan Dong +4 more
doaj +1 more source
Sensors, 2021 Multi-view or light field images have recently gained much attraction from academic and commercial fields to create breakthroughs that go beyond simple video-watching experiences. Immersive virtual reality is an important example.
You-Na Jin, Chae-Eun Rhee
doaj +1 more source
Robust Orthogonal-View 2-D/3-D Rigid Registration for Minimally Invasive Surgery
Micromachines, 2021 Intra-operative target pose estimation is fundamental in minimally invasive surgery (MIS) to guiding surgical robots. This task can be fulfilled by the 2-D/3-D rigid registration, which aligns the anatomical structures between intra-operative 2-D ...
Zhou An +7 more
doaj +1 more source
Video Action Recognition Using Motion and Multi-View Excitation with Temporal Aggregation
Entropy, 2022 Spatiotemporal and motion feature representations are the key to video action recognition. Typical previous approaches are to utilize 3D CNNs to cope with both spatial and temporal features, but they suffer from huge computations. Other approaches are to
Yuri Yudhaswana Joefrie, Masaki Aono
doaj +1 more source
Fast 3D Reconstruction of UAV Images Based on Neural Radiance Field
Applied Sciences, 2023 Traditional methods for 3D reconstruction of unmanned aerial vehicle (UAV) images often rely on classical multi-view 3D reconstruction techniques. This classical approach involves a sequential process encompassing feature extraction, matching, depth ...
Cancheng Jiang, Hua Shao
doaj +1 more source
Missing data in multi-omics integration: Recent advances through artificial intelligence
Frontiers in Artificial Intelligence, 2023 Biological systems function through complex interactions between various ‘omics (biomolecules), and a more complete understanding of these systems is only possible through an integrated, multi-omic perspective.
Javier E. Flores +5 more
doaj +1 more source
Continuous Latent Spaces Sampling for Graph Autoencoder
Applied Sciences, 2023 This paper proposes colaGAE, a self-supervised learning framework for graph-structured data. While graph autoencoders (GAEs) commonly use graph reconstruction as a pretext task, this simple approach often yields poor model performance.
Zhongyu Li +4 more
doaj +1 more source