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DKE
2002
113views more  DKE 2002»
13 years 5 months ago
A general strategy for decomposing topological invariants of spatial databases and an application
Topological invariants of spatial databases (i.e., finite structures that capture the topological properties of the database) are receiving increasing attention since they can act...
Serafino Cicerone, Daniele Frigioni, Paolino Di Fe...
ECCV
2010
Springer
13 years 8 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 7 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
COMPGEOM
2004
ACM
13 years 11 months ago
Approximate convex decomposition of polygons
We propose a strategy to decompose a polygon, containing zero or more holes, into “approximately convex” pieces. For many applications, the approximately convex components of ...
Jyh-Ming Lien, Nancy M. Amato
AI
2003
Springer
13 years 11 months ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin