Results 311 to 320 of about 1,072,227 (356)
Integrating Population Approaches With Physiologically Based Pharmacokinetic Models: A Novel Framework for Parameter Estimation. [PDF]
Teutonico D +3 more
europepmc +1 more source
PupEyes: An interactive Python library for eye movement data processing. [PDF]
Zhang H, Jonides J.
europepmc +1 more source
Multi-texture synthesis through signal responsive neural cellular automata. [PDF]
Catrina MM, Plajer IC, Băicoianu A.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
FILM: Frame Interpolation for Large Motion
European Conference on Computer Vision, 2022We present a frame interpolation algorithm that synthesizes multiple intermediate frames from two input images with large in-between motion. Recent methods use multiple networks to estimate optical flow or depth and a separate network dedicated to frame ...
F. Reda +5 more
semanticscholar +1 more source
Dermatologic Clinics, 2005
Interpolation flaps provide an excellent method for reconstruction of large or deep defects where adjacent local tissue cannot supply sufficient donor tissue for repair. These flaps use tissue imported from nonadjacent sites with an inherent blood supply (vascular pedicle) to support the flap while attached to the recipient defect until ...
J Ramsey, Mellette, Diana Q, Ho
openaire +2 more sources
Interpolation flaps provide an excellent method for reconstruction of large or deep defects where adjacent local tissue cannot supply sufficient donor tissue for repair. These flaps use tissue imported from nonadjacent sites with an inherent blood supply (vascular pedicle) to support the flap while attached to the recipient defect until ...
J Ramsey, Mellette, Diana Q, Ho
openaire +2 more sources
Proceedings of International Conference on Neural Networks (ICNN'96), 2002
This paper introduces a new type of network based on local response units, the ‘Intelpolation Networh’ (INS).U nder certain conditions this network is an interpolator. Its formulation allows a type of initialisation by prototypes that will set the net in a good initial starting point for the subsequent supervised learning process. These networks can be
Nunes, Luís +2 more
openaire +2 more sources
This paper introduces a new type of network based on local response units, the ‘Intelpolation Networh’ (INS).U nder certain conditions this network is an interpolator. Its formulation allows a type of initialisation by prototypes that will set the net in a good initial starting point for the subsequent supervised learning process. These networks can be
Nunes, Luís +2 more
openaire +2 more sources
Real-Time Intermediate Flow Estimation for Video Frame Interpolation
European Conference on Computer Vision, 2020Real-time video frame interpolation (VFI) is very useful in video processing, media players, and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for VFI.
Zhewei Huang +4 more
semanticscholar +1 more source
Facial Plastic Surgery, 2017
AbstractNasal reconstruction has been articulated in the literature since 700 B.C. when the earliest iteration of the forehead flap was described in the Indian medical treatise, the Sushruta Samhita. Since then it has evolved into the interpolated flap which has served as a powerful tool for facial reconstruction.
Samkon Kaltho, Gado +4 more
openaire +2 more sources
AbstractNasal reconstruction has been articulated in the literature since 700 B.C. when the earliest iteration of the forehead flap was described in the Indian medical treatise, the Sushruta Samhita. Since then it has evolved into the interpolated flap which has served as a powerful tool for facial reconstruction.
Samkon Kaltho, Gado +4 more
openaire +2 more sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
A Bayesian probability density for an interpolating function is developed, and its desirable properties and practical potential are demonstrated. This density has an often needed but previously unachieved property, here called cardinal interpolation, which ensures extrapolation to the density of the least squares linear model.
Steven C, Gustafson +2 more
openaire +2 more sources
A Bayesian probability density for an interpolating function is developed, and its desirable properties and practical potential are demonstrated. This density has an often needed but previously unachieved property, here called cardinal interpolation, which ensures extrapolation to the density of the least squares linear model.
Steven C, Gustafson +2 more
openaire +2 more sources

