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» Optimal Partitions of Data In Higher Dimensions
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107
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ICIP
2010
IEEE
14 years 9 months ago
Image partitioning with kernel mapping and graph cuts
A novel multiregion graph cut image partitioning method combined with kernel mapping is presented. A kernel function transforms implicitly the image data into data of a higher dim...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
95
Voted
ICCV
2003
IEEE
16 years 1 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
COMPGEOM
2010
ACM
15 years 4 months ago
Optimal partition trees
We revisit one of the most fundamental classes of data structure problems in computational geometry: range searching. Back in SoCG’92, Matouˇsek gave a partition tree method fo...
Timothy M. Chan
ADC
2003
Springer
123views Database» more  ADC 2003»
15 years 4 months ago
A Distance-Based Packing Method for High Dimensional Data
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...
Tae-wan Kim, Ki-Joune Li
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 4 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...