Results 261 to 270 of about 2,848,958 (338)

Spatiotemporal patterns and typological differences in the development-protection nexus of resource-based cities in China. [PDF]

Sci Rep
Ji L, Gao H, Chen L, Dong J.
europepmc   +1 more source

Integrated geospatial datasets to inform marine spatial planning and impact assessment in waters surrounding the United Kingdom. [PDF]

Sci Data
Putuhena H, Williams TJ, Sturt F, White D, Solan M, Godbold JA, Gourvenec S.   +6 more
europepmc   +1 more source

Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas. [PDF]

Entropy (Basel)
Desuó Neto L, de Oliveira Caetano H, de Souza Sant'Anna Fogliatto M, Dias Maciel C.   +3 more
europepmc   +1 more source

Detecting mangrove seedlings from UAV imagery using deep learning for restoration monitoring. [PDF]

Sci Rep
Shendryk Y, Vilas MP.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Robust kernels for kernel density estimation

Economics Letters, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Shaoping, Li, Ang, Wen, Kuangyu, Wu, Ximing   +3 more
openaire   +3 more sources

Kernel Estimation

Computer Vision, 2021
openaire   +2 more sources

Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring

Computer Vision and Pattern Recognition, 2023
Many deep learning-based solutions to blind image deblurring estimate the blur representation and reconstruct the target image from its blurry observation.
Zhenxuan Fang, Fangfang Wu, W. Dong, Xin Li, Jinjian Wu, Guangming Shi   +5 more
semanticscholar   +1 more source

KernelNet: A Blind Super-Resolution Kernel Estimation Network

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
Recently developed deep neural network methods have achieved remarkable performance in the Super Resolution problem when applied to Low Resolution (LR) images that are obtained from High Resolution (HR) images with ideal and predefined downsampling ...
Mehmet Yamaç, Baran Ataman, Aakif Nawaz
semanticscholar   +1 more source

Real-World Super-Resolution via Kernel Estimation and Noise Injection

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
Recent state-of-the-art super-resolution methods have achieved impressive performance on ideal datasets regardless of blur and noise. However, these methods always fail in real-world image super-resolution, since most of them adopt simple bicubic ...
Xiaozhong Ji, Yun Cao, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang   +5 more
semanticscholar   +1 more source