Results 21 to 30 of about 114,572 (313)

Spiralet Sparse Representation

CoRR, 2014
10 pages, Working Paper Number: WP-RFM-14 ...
Reza Farrahi Moghaddam, Mohamed Cheriet
openaire   +2 more sources

Bayesian Orthogonal Component Analysis for Sparse Representation [PDF]

, 2010
This paper addresses the problem of identifying a lower dimensional space where observed data can be sparsely represented. This undercomplete dictionary learning task can be formulated as a blind separation problem of sparse sources linearly mixed with ...
Nicolas Dobigeon, Jean-yves Tourneret, Dobigeon, Nicolas, Tourneret, Jean-Yves   +3 more
core   +1 more source

Local Connectivity Enhanced Sparse Representation

IEEE Access, 2020
During the past two decades, the subspace clustering problem has attracted much attention. Since the data set in real-world problems usually contains a lot of categories, it seems that the large subspace number (LSN) subspace clustering has great ...
Kewei Tang, Liying Cao, Jinhong Li, Xingxuan Peng, Zhixun Su, Xiyan Sun, Xiaonan Luo   +6 more
doaj   +1 more source

Joint Sparse Representation-based Single Image Super-Resolution for Remote Sensing Applications

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Sparse representation-based single image super-resolution (SISR) methods use a coupled overcomplete dictionary trained from high-resolution images/image patches.
Bhabesh Deka, Helal Uddin Mullah, Trishna Barman, Sumit Datta   +3 more
doaj   +1 more source

Sparse representations in audio & music: from coding to source separation [PDF]

, 2010
—Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME, Gribonval, R, Daudet, Laurent, Plumbley, MD, Davies, M.E.; id_orcid, Daudet, L., Blumensath, T., Plumbley, Mark D., Gribonval, Rémi, Davies, Mike E., Plumbley, M.D., Blumensath, Thomas, Gribonval, R., Blumensath, T, Daudet, L, Davies, M.E.   +15 more
core   +1 more source

Subspace-Sparse Representation

CoRR, 2015
15 pages, 3 figures, previous version published in ICML ...
Chong You, René Vidal
openaire   +2 more sources

Dictionary learning with large step gradient descent for sparse representations [PDF]

, 2012
This is the accepted version of an article published in Lecture Notes in Computer Science Volume 7191, 2012, pp 231-238.
Boris Mailhé, Mailhé, B, Plumbley, MD, Mark D. Plumbley, Mailhé, Boris, Plumbley, Mark, D.   +5 more
core   +1 more source

Sparse representation of salient regions for no-reference image quality assessment

International Journal of Advanced Robotic Systems, 2016
This paper introduces an efficient feature learning framework via sparse coding for no-reference image quality assessment. The important part of the proposed framework is based on sparse feature extraction from a sparse representation matrix, which is ...
Tianpeng Feng, Dexiang Deng, Jia Yan, Weixia Zhang, Wenxuan Shi, Lian Zou   +5 more
doaj   +1 more source

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

CAAI 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, Fei Li, Ying Tong, Minghu Wu, Yang Jiao   +4 more
doaj   +1 more source

Sparse coding [PDF]

, 2008
The(frequently updated) original version is avalable at http://www.scholarpedia.org/article/Sparse_codingMammalian brains consist of billions of neurons, each capable of independent electrical activity.
Endres, D M, Foldiak, Peter, Endres, Dominik Maria, Foldiak, P   +3 more
core   +1 more source