Results 21 to 30 of about 4,797,118 (337)
Video Frame Interpolation via Generalized Deformable Convolution
Video frame interpolation aims at synthesizing intermediate frames from nearby source frames while maintaining spatial and temporal consistencies.
Zhihao Shi+4 more
semanticscholar +1 more source
Lagrange Multivariate Polynomial Interpolation: A Random Algorithmic Approach
The problems of polynomial interpolation with several variables present more difficulties than those of one-dimensional interpolation. The first problem is to study the regularity of the interpolation schemes.
A. Essanhaji, M. Errachid
doaj +1 more source
The problem of trigonometric Fourier series multipliers of classes in λp,q spaces
In this article, we consider weighted spaces of numerical sequences λp,q, which are defined as sets of sequences a = {ak}∞k=1, for which the norm ||a||λp,q := (∞Σk=1|ak|qkq/p −1)1/q < ∞ is finite. In the case of non-increasing sequences, the norm of the
A. Bakhyt, N.T. Tleukhanova
doaj +1 more source
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution [PDF]
In this paper, we explore the space-time video super-resolution task, which aims to generate a high-resolution (HR) slow-motion video from a low frame rate (LFR), low-resolution (LR) video. A simple solution is to split it into two sub-tasks: video frame
Xiaoyu Xiang+5 more
semanticscholar +1 more source
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation [PDF]
Image-to-Image (I2I) multi-domain translation models are usually evaluated also using the quality of their semantic interpolation results. However, state-of-the-art models frequently show abrupt changes in the image appearance during interpolation, and ...
Yahui Liu+8 more
semanticscholar +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Comparison of Different Approaches to Define the Applicability Domain of QSAR Models
One of the OECD principles for model validation requires defining the Applicability Domain (AD) for the QSAR models. This is important since the reliable predictions are generally limited to query chemicals structurally similar to the training compounds ...
Roberto Todeschini+5 more
doaj +1 more source
To develop an improved k‐space reconstruction method using scan‐specific deep learning that is trained on autocalibration signal (ACS) data.
M. Akçakaya+3 more
semanticscholar +1 more source
A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
Space-time interpolation is widely used to estimate missing or unobserved values in a dataset integrating both spatial and temporal records. Although space-time interpolation plays a key role in space-time modeling, existing methods were mainly developed
Min Deng+3 more
doaj +1 more source