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PRL
2006
139views more  PRL 2006»
13 years 9 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
IACR
2011
147views more  IACR 2011»
12 years 8 months ago
Adaptive Security of Concurrent Non-Malleable Zero-Knowledge
A zero-knowledge protocol allows a prover to convince a verifier of the correctness of a statement without disclosing any other information to the verifier. It is a basic tool a...
Zhenfu Cao, Zongyang Zhang, Yunlei Zhao
ICPR
2008
IEEE
14 years 10 months ago
Change detection based on adaptive Markov Random Fields
Usually changes in remote sensing images go along with the appearance or disappearance of some edges. In addition, pixels located along the edges are likely to weakly influenced b...
Chunlei Huo, Hanqing Lu, Jian Cheng, Keming Chen, ...
ICSE
2009
IEEE-ACM
14 years 3 months ago
ITACA: An integrated toolbox for the automatic composition and adaptation of Web services
Adaptation is of utmost importance in systems developed by assembling reusable software services accessed through their public interfaces. This process aims at solving, as automat...
Javier Cámara, José Antonio Mart&iac...
CGF
2008
217views more  CGF 2008»
13 years 9 months ago
A Flexible Kernel for Adaptive Mesh Refinement on GPU
We present a flexible GPU kernel for adaptive on-the-fly refinement of meshes with arbitrary topology. By simply reserving a small amount of GPU memory to store a set of adaptive ...
Tamy Boubekeur, Christophe Schlick