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» Approximate distance oracles
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KDD
2006
ACM
159views Data Mining» more  KDD 2006»
16 years 3 months ago
Global distance-based segmentation of trajectories
This work introduces distance-based criteria for segmentation of object trajectories. Segmentation leads to simplification of the original objects into smaller, less complex primi...
Aris Anagnostopoulos, Michail Vlachos, Marios Hadj...
237
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POPL
2006
ACM
16 years 3 months ago
A hierarchical model of data locality
In POPL 2002, Petrank and Rawitz showed a universal result-finding optimal data placement is not only NP-hard but also impossible to approximate within a constant factor if P = NP...
Chengliang Zhang, Chen Ding, Mitsunori Ogihara, Yu...
235
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Lab
667views
16 years 20 days ago
Digital Systems and Media Computing Laboratory - DSMC
The Digital Systems and Media Computing Laboratory (DSMC Lab) was established in the end of 2002 and is located in Patras, Greece. DSMC operates under the School of Sciences and Te...
129
Voted
CIKM
2007
Springer
15 years 9 months ago
Nugget discovery in visual exploration environments by query consolidation
Queries issued by casual users or specialists exploring a data set often point us to important subsets of the data, be it clusters, outliers or other features of particular import...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
144
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 8 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...