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» Optimizing Sparse Data Structures for Matrix-vector Multiply
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ICASSP
2011
IEEE
14 years 3 months ago
Content preference estimation in online social networks: Message passing versus sparse reconstruction on graphs
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
Jacob Chakareski
CSE
2009
IEEE
15 years 3 months ago
A Comparative Study of Blocking Storage Methods for Sparse Matrices on Multicore Architectures
Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architectur...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
130
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PPOPP
2011
ACM
14 years 2 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...
PIMRC
2010
IEEE
14 years 9 months ago
Compressive sampling based differential detection of ultra wideband signals
In this paper we focus on compressive sampling (CS) based ultra wideband (UWB) differential detection. We formulate an optimization problem to jointly recover the sparse received U...
Shahzad Gishkori, Geert Leus, Vincenzo Lottici
ECCV
2010
Springer
15 years 4 months ago
Bilinear factorization via Augmented Lagrange Multipliers
This paper presents a unified approach to solve different bilinear factorization problems in Computer Vision in the presence of missing data in the measurements. The problem is f...