Results 31 to 40 of about 1,871,059 (300)

A weighted block cooperative sparse representation algorithm based on visual saliency dictionary

open access: yesCAAI Transactions on Intelligence Technology, 2023
Unconstrained face images are interfered by many factors such as illumination, posture, expression, occlusion, age, accessories and so on, resulting in the randomness of the noise pollution implied in the original samples.
Rui Chen   +4 more
doaj   +1 more source

Robust Face Recognition Via Gabor Feature and Sparse Representation

open access: yesITM Web of Conferences, 2016
Sparse representation based on compressed sensing theory has been widely used in the field of face recognition, and has achieved good recognition results.
Hao Yu-Juan, Zhang Li-Quan
doaj   +1 more source

3-D Sparse Representations [PDF]

open access: yes, 2014
In this chapter we review a variety of 3D sparse representations developed in recent years and adapted to different kinds of 3D signals. In particular, we describe 3D wavelets, ridgelets, beamlets and curvelets. We also present very recent 3D sparse representations on the 3D ball adapted to 3D signal naturally observed in spherical coordinates ...
Lanusse, François   +3 more
openaire   +3 more sources

Sparse representation of Gravitational Sound [PDF]

open access: yesJournal of Sound and Vibration, 2018
Gravitational Sound clips produced by the Laser Interferometer Gravitational-Wave Observatory (LIGO) and the Massachusetts Institute of Technology (MIT) are considered within the particular context of data reduction. It is shown that these types of signals can be approximated at high quality using much less elementary components than those required ...
Rebollo Neira, Laura   +1 more
openaire   +4 more sources

The cosparse analysis model and algorithms [PDF]

open access: yes, 2013
After a decade of extensive study of the sparse representation synthesis model, we can safely say that this is a mature and stable field, with clear theoretical foundations, and appealing applications.
Gribonval, Rémi   +7 more
core   +1 more source

A Feature Extraction Method of Wheelset-Bearing Fault Based on Wavelet Sparse Representation with Adaptive Local Iterative Filtering

open access: yesShock and Vibration, 2020
The feature extraction of wheelset-bearing fault is important for the safety service of high-speed train. In recent years, sparse representation is gradually applied to the fault diagnosis of wheelset-bearing.
Zhan Xing   +3 more
doaj   +1 more source

Image compression-encryption method based on two-dimensional sparse recovery and chaotic system

open access: yesScientific Reports, 2021
In this paper, we propose an image compression-encryption method based on two-dimensional (2D) sparse representation and chaotic system. In the first step of this method, the input image is extended in a transform domain to obtain a sparse representation.
Aboozar Ghaffari
doaj   +1 more source

On sparse evaluation representations

open access: yesTheoretical Computer Science, 1997
The sparse evaluation graph has emerged over the past several years as an intermediate representation that captures the dataflow information in a program compactly and helps perform dataflow analysis efficiently. The contributions of this paper are three-fold: We present a linear time algorithm for constructing a variant of the sparse evaluation graph ...
openaire   +1 more source

Fast Kernel Sparse Representation [PDF]

open access: yes2011 International Conference on Digital Image Computing: Techniques and Applications, 2011
Two efficient algorithms are proposed to seek the sparse representation on high-dimensional Hilbert space. By proving that all the calculations in Orthogonal Match Pursuit (OMP) are essentially inner-product combinations, we modify the OMP algorithm to apply the kernel-trick.
Hanxi Li, Yongsheng Gao 0001, Jun Sun
openaire   +2 more sources

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

open access: yes, 2022
Multiple graph and semi-supervision techniques have been successfully introduced into the nonnegative matrix factorization (NMF) model for taking full advantage of the manifold structure and priori information of data to capture excellent low-dimensional
Yi Wang   +11 more
core   +1 more source

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