Results 301 to 310 of about 4,797,118 (337)

DCLTV: An Improved Dual-Condition Diffusion Model for Laser-Visible Image Translation. [PDF]

Sensors (Basel)
Zhang X, Zhang L, Guo H, Zheng H, Sun H, Li Y, Li R, Luan C, Tong X.   +8 more
europepmc   +1 more source

Determination of the latent geometry of atorvastatin pharmacokinetics by transfer entropy to identify bottlenecks. [PDF]

BMC Pharmacol Toxicol
Lecca P, Re A.
europepmc   +1 more source

RRT-CS: A free-collision planner for capsule-like SCORBOT by iterated learning. [PDF]

PLoS One
Nguyen H, Nguyen TP, Nguyen SH, Ngo HQT.
europepmc   +1 more source

Spatio-temporal reconstruction of gene expression patterns in developing mice.

Development
Aviñó-Esteban L, Cardona-Blaya H, Sharpe J.   +2 more
europepmc   +1 more source

Towards Nonlinearity: The <i>p</i>-Regularity Theory. [PDF]

Entropy (Basel)
Bednarczuk E, Brezhneva O, Leśniewski K, Prusińska A, Tret'yakov AA.   +4 more
europepmc   +1 more source

Interpolation spaces and interpolation methods [PDF]

Annali di Matematica Pura ed Applicata, 1965
Abstract : A study is made of the general structure of all possible interpolation methods. For some applications intermediate spaces between two given Banach spaces for which such a general interpolation method exists are characterized. The relevant intermediate spaces are those which are called interpolation spaces between two given Banach spaces. The
Emilio Gagliardo, Nachman Aronszajn
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Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation

Computer Vision and Pattern Recognition, 2019
Generative adversarial networks have achieved great success in unpaired image-to-image translation. Cycle consistency allows modeling the relationship between two distinct domains without paired data.
Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia   +3 more
semanticscholar   +1 more source

Data Augmentation via Latent Space Interpolation for Image Classification

International Conference on Pattern Recognition, 2018
Effective training of the deep neural networks requires much data to avoid underdetermined and poor generalization. Data Augmentation alleviates this by using existing data more effectively.
Xiaofeng Liu, Yang Zou, Lingsheng Kong, Z. Diao, Junliang Yan, Jun Wang, Site Li, P. Jia, J. You   +8 more
semanticscholar   +1 more source

Interpolation in the Hardy space

Integral Transforms and Special Functions, 2013
We introduce an interpolation formula for functions in the Hardy space on the right-half plane and prove its convergence in norm and pointwise under very general condition. We also obtain an inverse formula for the Laplace transform from data on a finite interval.
Nguyen Thanh Hong, Vu Kim Tuan
openaire   +2 more sources