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CCGRID
2010
IEEE
13 years 9 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
PR
2007
88views more  PR 2007»
13 years 7 months ago
Robust kernel Isomap
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
Heeyoul Choi, Seungjin Choi
GCC
2005
Springer
14 years 1 months ago
The Computation of Semantic Data Cube
The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysi...
Yubao Liu, Jian Yin
ICDT
2005
ACM
149views Database» more  ICDT 2005»
14 years 1 months ago
Approximately Dominating Representatives
We propose and investigate from the algorithmic standpoint a novel form of fuzzy query called approximately dominating representatives or ADRs. The ADRs of a multidimensional point...
Vladlen Koltun, Christos H. Papadimitriou
WSCG
2003
138views more  WSCG 2003»
13 years 9 months ago
The Virtual Environment - Another Approach
In this paper the virtual environment, viewed as a multi-dimensional space, populated by entities which interact with each other is considered. In this universe an entity can trig...
Dorin Mircea Popovici, Luca-Dan Serbanati, Fabrice...