Results 21 to 30 of about 154,546 (314)

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

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

New Directions In Sparse Sampling and Estimation For Underdetermined Systems [PDF]

, 2013
A central objective in signal processing is to infer meaningful information from a set of measurements or data. While most signal models have an overdetermined structure (the number of unknowns less than the number of equations), traditionally very few ...
Piya Pal, Pal, Piya
core   +1 more source

Audio Source Separation Using Sparse Representations [PDF]

, 2010
This is the author's final version of the article, first published as A. Nesbit, M. G. Jafari, E. Vincent and M. D. Plumbley. Audio Source Separation Using Sparse Representations. In W.
Nesbit, Andrew, Plumbley, MD, Jafari, MG, Vincent, Emmanuel, Nesbit, A, Jafari, Maria, G., Plumbley, Mark, D., Vincent, E   +7 more
core   +1 more source

Large-Scale Visualization of Sparse Matrices [PDF]

, 2014
An efficient algorithm for parallel acquisition of visualization data for large sparse matrices is presented and evaluated both analytically and empirically.
Tvrdik, P., Dytrych, T., Langr, D., Simecek, I.   +3 more
core   +1 more source

Explicit Object Representation by Sparse Neural Codes [PDF]

, 2008
Neurons have been identified in the human medial temporal lobe (MTL) that display a strong selectivity for only a few stimuli (such as familiar individuals or landmark buildings) out of perhaps 100 presented to the test subject.
Waydo, Stephen J.
core   +1 more source

Regularized Sparse Gaussian Processes

CoRR, 2019
Gaussian processes are a flexible Bayesian nonparametric modelling approach that has been widely applied but poses computational challenges. To address the poor scaling of exact inference methods, approximation methods based on sparse Gaussian processes (SGP) are attractive.
Rui Meng, Herbert K. H. Lee, Braden Soper, Priyadip Ray   +3 more
openaire   +2 more sources

Combinatorial Regression and Improved Basis Pursuit for Sparse Estimation [PDF]

, 2012
Sparse representations accurately model many real-world data sets. Some form of sparsity is conceivable in almost every practical application, from image and video processing, to spectral sensing in radar detection, to bio-computation and genomic signal ...
Khajehnejad, M. Amin
core   +1 more source

Sparse Multiscale Patches for Image Processing [PDF]

, 2009
This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) define a set of features that capture the information contained in the image relevant for the given task and 2) define a similarity measure in this feature space.
Piro, Paolo, Anthoine, Sandrine, Debreuve, Eric, Barlaud, Michel   +3 more
openaire   +2 more sources

GRADIENT POLYTOPE FACES PURSUIT FOR LARGE SCALE SPARSE RECOVERY PROBLEMS [PDF]

, 2010
IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Dallas, TX, 14-19 March ...
Plumbley, Mark D., Gretsistas, A, Plumbley, MD, Mark D. Plumbley, Gretsistas, Aris, Damnjanovic, Ivan, Ivan Damnjanovic, Damnjanovic, I, Aris Gretsistas   +8 more
core   +1 more source