and a high number of genes (p), the samples were sub-sampled with different sizes (from 20 ... qqq qqqqqqqqq qqqqq qqqqqq qqqqqqqqqqqq q qqqq qqqqqqq ...
a low-rank one by imposing sparsity on its singular values, and its robust variant further ...... is very efficient: it
Dec 10, 2008 - arXiv:0812.1869v1 [cs.LG] 10 Dec 2008. Convex Sparse Matrix Factorizations. Francis Bach, Julien Mairal, Jean Ponce. Willow Project-team.
multiplication are completed by unary processors or parallel platforms today. ...
parallel implementations suffer from communication delays and load balancing ...
to be computed efficiently in parallel, where A is an n × n sparse matrix with nnz
... Previous work on parallel sparse matrix-vector multiplication has focused on ...
San Juan, Puerto Rico, April 12-16, 1999. University of Malaga. Department of Computer Architecture. C. Tecnologico • PO Box 4114 • E-29080 Malaga • Spain ...
Dec 24, 2016 - Abstract. The objective function of canonical correlation analysis (CCA) is e- quivalent to minimizing a L2-norm distance of the paired data.
Jun 21, 2012 - We propose MATRIX ALPS for recovering a sparse plus low-rank decomposition of a matrix given its corrupted and .... empirical support for our claims for better data recovery performance and reduced complexity in Section V.
to be computed efficiently in parallel, where A is an n × n sparse matrix with nnz
... Previous work on parallel sparse matrix-vector multiplication has focused on ...
We identify the challenges that are special to parallel sparse matrix-matrix
multiplication (PSpGEMM). We show that sparse algorithms are not as scalable
as ...
nonzeros by a dense n-vector x, the memory bandwidth for reading ... mat for sparse matrices in scientific computing, compressed sparse ... has focused on reducing communication volume in a distributed- .... Finally, of course, we could store the mat
from input matrices A â RsÃr and B â RsÃt for some integers r, s, t. This problem is ..... minimum recovery threshold of any scheme is. Kâ = min. / k(f) = mn. (3).
May 8, 2017 - 6 Online stochastic tensor decomposition for multispectral video sequences. 75 ..... 4.3 Visual results of SCM-RPCA over three scenes of MarDT dataset. ..... Learning low-rank and sparse structures from corrupted or even incomplete ....
David DuBois, Andrew DuBois, Carolyn Connor Davenport, Stephen Poole, HPC-5. Sparse matrices, derived from systems of partial differential equations ...
Fig. 1.1. Schematic view of the k-way set-associative cache model with modulo ...... Fig. 8.7. Wall-clock timings obtained by using the OSKI library for the SpMV ...
Mar 1, 2005 - Except for one element all extremes occur simultaneously. The effect of .... Each cell of the plots represents a matrix element ..... subâperiod 6.
3 Pair-List Matrix Multiplication Algorithm. The algorithm consists of two phases, a symbolic phase that generates an execution strategy, and a computa-.
Nov 5, 2014 - are from Wallflower [40]. The first row image sequences are from [21]. include each image frame as a rank and thus it cause dense basis matrix ...
Feb 28, 2018 - â¡Department of Computer Science, Norwegian University of Science and Technology .... SIAM Journal on Scientific Computing 37, 1 (2015),.
Aug 10, 2017 - a Hartree Centre, Science and Technology Facilities Council, United Kingdom b University of Zurich, Department of Chemistry, Switzerland.
May 23, 2010 - the SOI and interfering signals at time instant k, respectively, θl (for l = 0, 1, ... The output of a beamformer for the time instant k is then given by.
els of performance in the presence of programming abstractions. In this paper we present an implementation of the Minimum Degree ordering al- gorithm using ...
The CUDA model for GPUs presents the programmer with a plethora of different ... Contract/grant sponsor: Australian Research Council; contract/grant number: ...
2, and a 1.3 GHz IBM Power4. The machines are summarized in Table 1, where we show each processors' clock speed and cache configuration, along with.
corrupted by noise affecting every entry of the data matrix. Therefore, Zhou et al. [73] proposed a stable PCP (SPCP) that guarantee stable and accurate recovery in the ... Next, is needed to selected the input video file and define the output.
