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» Computing with abstract matrix structures
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SCALESPACE
2009
Springer
15 years 4 months ago
PDE-Driven Adaptive Morphology for Matrix Fields
Matrix fields are important in many applications since they are the adequate means to describe anisotropic behaviour in image processing models and physical measurements. A promin...
Bernhard Burgeth, Michael Breuß, Luis Pizarr...
TSP
2010
14 years 4 months ago
Blind separation of Gaussian sources with general covariance structures: bounds and optimal estimation
Abstract--We consider the separation of Gaussian sources exhibiting general, arbitrary (not necessarily stationary) covariance structures. First, assuming a semi-blind scenario, in...
Arie Yeredor
IPPS
2006
IEEE
15 years 3 months ago
Effecting parallel graph eigensolvers through library composition
— Many interesting problems in graph theory can be reduced to solving an eigenproblem of the adjacency matrix or Laplacian of a graph. Given the availability of high-quality line...
A. Breuer, Peter Gottschling, Douglas Gregor, Andr...
FCS
2006
14 years 11 months ago
New Approach To A Class Of Matrices
The displacement structure is extended to a Kronecker matrix W Z. A new class of Kronecker-like matrices with the displacement rank r, r < n will be formulated and presented. ...
Z. Chen
DATESO
2004
165views Database» more  DATESO 2004»
14 years 11 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