Results 41 to 50 of about 1,813,028 (298)
The cosparse analysis model and algorithms [PDF]
, 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 +8 more
core +1 more source
Sparse representation of Gravitational Sound [PDF]
Journal 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
Learning incoherent dictionaries for sparse approximation using iterative projections and rotations [PDF]
, 2013 This work was supported by the Queen Mary University of London School Studentship, the EU FET-Open project FP7- ICT-225913-SMALL. Sparse Models, Algorithms and Learning for Large-scale data and a Leadership Fellowship from the UK Engineering and ...
Plumbley, Mark, Barchiesi, Daniele
core +3 more sources
Visual Tracking Based on Extreme Learning Machine and Sparse Representation
Sensors, 2015 The existing sparse representation-based visual trackers mostly suffer from both being time consuming and having poor robustness problems. To address these issues, a novel tracking method is presented via combining sparse representation and an emerging ...
Baoxian Wang +4 more
doaj +1 more source
Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega +10 more
wiley +1 more source
Bayesian modelling of music : algorithmic advances and experimental studies of shift-invariant sparse coding [PDF]
, 2005 PhDIn order to perform many signal processing tasks such as classification, pattern recognition and coding, it is helpful to specify a signal model in terms of meaningful signal structures.
Blumensath, Thomas
core +4 more sources
Sparse Representation and Collaborative Representation? Both Help Image Classification
IEEE Access, 2019 Image classification has attracted more and more attention. During the past decades, image classification has shown growing interest in representation-based classification methods, such as sparse representation-based classification and collaborative ...
Wen-Yang Xie +4 more
doaj +1 more source
Sparse Representation For Image Prediction
, 2007 Publication in the conference proceedings of EUSIPCO, Poznan, Poland ...
Martin, Aurélie +3 more
openaire +4 more sources
Fast Kernel Sparse Representation [PDF]
2011 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
Iterative thresholding for sparse approximations [PDF]
, 2008 Sparse signal expansions represent or approximate a signal using a small number of elements from a large collection of elementary waveforms. Finding the optimal sparse expansion is known to be NP hard in general and non-optimal strategies such as ...
Blumensath, T. +3 more
core +1 more source