منابع مشابه
Traffic Speed Data Imputation Method Based on Tensor Completion
Traffic speed data plays a key role in Intelligent Transportation Systems (ITS); however, missing traffic data would affect the performance of ITS as well as Advanced Traveler Information Systems (ATIS). In this paper, we handle this issue by a novel tensor-based imputation approach. Specifically, tensor pattern is adopted for modeling traffic speed data and then High accurate Low Rank Tensor C...
متن کاملA Multi-Scale Gradient based Method for Image Completion
LU Rui XU De LI Bing Institute of Computer Science and Engineering Beijing Jiaotong University Beijing,100044 CHINA [email protected] [email protected] [email protected] Abstract:Image completion is a challenging problem in computer graphics and computer vision. It refers to the problem of automatically filling holes in images left by the unwanted objects removal in a plausible way. Unlike previou...
متن کاملTensor Completion
The purpose of this thesis is to explore the methods to solve the tensor completion problem. Inspired by the matrix completion problem, the tensor completion problem is formulated as an unconstrained nonlinear optimization problem, which finds three factors that give a low-rank approximation. Various of iterative methods, including the gradient-based methods, stochastic gradient descent method ...
متن کاملBeyond Low Rank: A Data-Adaptive Tensor Completion Method
Low rank tensor representation underpins much of recent progress in tensor completion. In real applications, however, this approach is confronted with two challenging problems, namely (1) tensor rank determination; (2) handling real tensor data which only approximately fulfils the low-rank requirement. To address these two issues, we develop a data-adaptive tensor completion model which explici...
متن کاملA Weighted Nuclear Norm Method for Tensor Completion
In recent years, tensor completion problem has received a significant amount of attention in computer vision, data mining and neuroscience. It is the higher order generalization of matrix completion. And these can be solved by the convex relaxation which minimizes the tensor nuclear norm instead of the n-rank of the tensor. In this paper, we introduce the weighted nuclear norm for tensor and de...
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ژورنال
عنوان ژورنال: JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
سال: 2020
ISSN: 0973-8975,2454-7190
DOI: 10.26782/jmcms.2020.08.00066