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SISAP
2010
IEEE
149views Data Mining» more  SISAP 2010»
13 years 9 months ago
On applications of parameterized hyperplane partitioning
The efficient similarity search in metric spaces is usually based on several low-level partitioning principles, which allow filtering of non-relevant objects during the search. I...
Jakub Lokoc, Tomás Skopal
HIS
2008
14 years 27 days ago
Improving the Performance of Partitioning Methods for Crowd Simulations
Simulating the realistic behavior of large crowds of autonomous agents is still a challenge for the computer graphics community. In order to handle large crowds, some scalable arc...
Guillermo Vigueras, Miguel Lozano, Juan Manuel Ord...
EURODAC
1990
IEEE
92views VHDL» more  EURODAC 1990»
14 years 3 months ago
Accelerated test pattern generation by cone-oriented circuit partitioning
In this paper an efficient cone oriented circuit partitioning method is presented, which significantly speeds up automatic test pattern generation for combinational circuits. The ...
Torsten Grüning, Udo Mahlstedt, Wilfried Daeh...
HPDC
1994
IEEE
14 years 3 months ago
Network Partitioning of Data Parallel Computations
Partitioning data parallel computations across a network of heterogeneous workstations is a dificult problem for the user: We have developed a runtime partitioning methodfor choos...
Jon B. Weissman, Andrew S. Grimshaw
DAC
1997
ACM
14 years 3 months ago
Multi-Way FPGA Partitioning by Fully Exploiting Design Hierarchy
In this paper, we present a new integrated synthesis and partitioning method for multiple-FPGA applications. This method rst synthesizes a design speci cation in a ne-grained way ...
Wen-Jong Fang, Allen C.-H. Wu
ADC
2003
Springer
123views Database» more  ADC 2003»
14 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
ICCV
2003
IEEE
15 years 1 months ago
Spectral Partitioning for Structure from Motion
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
Drew Steedly, Irfan A. Essa, Frank Dellaert