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» Approximate convex decomposition of polygons
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125
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ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
15 years 6 months ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...
ACIVS
2008
Springer
15 years 6 months ago
Robust Curvature Extrema Detection Based on New Numerical Derivation
Abstract. Extrema of curvature are useful key points for different image analysis tasks. Indeed, polygonal approximation or arc decomposition methods used often these points to ini...
Cédric Join, Salvatore Tabbone
88
Voted
PPL
2006
93views more  PPL 2006»
14 years 11 months ago
Inherently Parallel Geometric Computations
A new computational paradigm is described which o ers the possibility of superlinear and sometimes unbounded speedup, when parallel computation is used. The computations involved ...
Selim G. Akl
DCOSS
2007
Springer
15 years 3 months ago
Efficient Computation of Minimum Exposure Paths in a Sensor Network Field
The exposure of a path p is a measure of the likelihood that an object traveling along p is detected by a network of sensors and it is formally defined as an integral over all poin...
Hristo Djidjev
CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 9 months ago
CUR from a Sparse Optimization Viewpoint
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...
Jacob Bien, Ya Xu, Michael W. Mahoney