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PRL
2006
139views more  PRL 2006»
15 years 6 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...
INFOCOM
2010
IEEE
15 years 5 months ago
Building Scalable Virtual Routers with Trie Braiding
—Many popular algorithms for fast packet forwarding and filtering rely on the tree data structure. Examples are the trie-based IP lookup and packet classification algorithms. W...
Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. La...
ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 8 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
EUSFLAT
2003
122views Fuzzy Logic» more  EUSFLAT 2003»
15 years 8 months ago
Structure recognition on sequences with a neuro-fuzzy-system
We present a formal description of a neurofuzzy system capable of aligning two sequences recognizing their internal structure. The alignment is done on two levels: grouping of the...
Klaus Dalinghaus, Tillman Weyde
GIS
1995
ACM
15 years 10 months ago
Measuring the Complexity of Polygonal Objects
Polygonal objects are characterized by the following well-known parameters: number of vertices, area, perimeter and so on. These parameters describe the data sets that are used in...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...