Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
نویسندگان
چکیده
منابع مشابه
Generalized Correntropy for Robust Adaptive Filtering
1. Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China 2. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China 3. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611 USA Abstract—As a robust nonlinear similarity measure in kernel space, correntropy has received increasing attent...
متن کامل3D Image Representation through Hierarchical Tensor Decomposition, Based on SVD with Elementary Tensor of size 222
As it is known, groups of correlated 2D images of various kind could be represented as 3D images, which are mathematically described as 3 rd order tensors. Various generalizations of the Singular Value Decomposition (SVD) exist, aimed at the tensor description reduction. In this work, new approach is presented for 3 rd order tensor decomposition, where unlike the famous methods for decompositio...
متن کاملA General BRDF Representation Based on Tensor Decomposition
Generating photo-realistic images through Monte Carlo rendering requires efficient representation of light–surface interaction and techniques for importance sampling. Various models with good representation abilities have been developed but only a few of them have their importance sampling procedure. In this paper, we propose a method which provides a good bidirectional reflectance distribution...
متن کاملRobust polynomial time tensor decomposition
Tensor decomposition has recently become an invaluable algorithmic primitive. It has seen much use in new algorithms with provable guarantees for fundamental statistics and machine learning problems. In these settings, some low-rank k-tensor A ∑r i 1 a ⊗k i which wewould like to decompose into components a1, . . . , ar ∈ n is often not directly accessible. This could happen for many reasons; a...
متن کاملCognitive Image Representation Based on Spectrum Pyramid Decomposition
The contemporary image representation is based on various techniques, using matrices, vectors, multi-resolution pyramids, R-tree, orthogonal transforms, anisotropic perceptual representations, etc. In this paper is offered one new approach for cognitive image representation based on adaptive spectrum pyramid decomposition controlled by neural networks. This approach corresponds to the hypothesi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2021
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2020.3033151