Sciweavers

ICA
2012
Springer
12 years 1 days ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
CORR
2012
Springer
272views Education» more  CORR 2012»
12 years 6 days ago
Fast and Exact Top-k Search for Random Walk with Restart
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity sco...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk...
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
12 years 7 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
CORR
2011
Springer
199views Education» more  CORR 2011»
12 years 11 months ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
PC
2002
158views Management» more  PC 2002»
13 years 4 months ago
On parallel block algorithms for exact triangularizations
We present a new parallel algorithm to compute an exact triangularization of large square or rectangular and dense or sparse matrices in any field. Using fast matrix multiplicatio...
Jean-Guillaume Dumas, Jean-Louis Roch
COMPUTING
2006
99views more  COMPUTING 2006»
13 years 4 months ago
Computation of Singular Integral Operators in Wavelet Coordinates
With respect to a wavelet basis, singular integral operators can be well approximated by sparse matrices, and in [Found. Comput. Math., 2 (2002), pp. 203
T. Gantumur, R. P. Stevenson
AC
2008
Springer
13 years 4 months ago
Distributed Sparse Matrices for Very High Level Languages
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
John R. Gilbert, Steve Reinhardt, Viral Shah
DATESO
2004
165views Database» more  DATESO 2004»
13 years 5 months ago
Multi-dimensional Sparse Matrix Storage
Large sparse matrices play important role in many modern information retrieval methods. These methods, such as clustering, latent semantic indexing, performs huge number of computa...
Jiri Dvorský, Michal Krátký
CATA
2010
13 years 6 months ago
Utilizing Recursive Storage in Sparse Matrix-Vector Multiplication - Preliminary Considerations
Computations with sparse matrices on "multicore cache based" computers are affected by the irregularity of the problem at hand, and performance degrades easily. In this ...
Michele Martone, Salvatore Filippone, Salvatore Tu...
CF
2005
ACM
13 years 6 months ago
Sparse matrix storage revisited
In this paper, we consider alternate ways of storing a sparse matrix and their effect on computational speed. They involve keeping both the indices and the non-zero elements in t...
Malik Silva