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» EM in High Dimensional Spaces
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VISSYM
2004
14 years 11 months ago
Volume Visualization and Visual Queries for Large High-Dimensional Datasets
We propose a flexible approach for the visualization of large, high-dimensional datasets. The raw, highdimensional data is mapped into an abstract 3D distance space using the Fast...
Guido Reina, Thomas Ertl
120
Voted
SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
14 years 11 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
87
Voted
ICASSP
2010
IEEE
14 years 10 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ENGL
2008
160views more  ENGL 2008»
14 years 10 months ago
Vector Approximation based Indexing for High-Dimensional Multimedia Databases
With the proliferation of multimedia data, there is an increasing need to support the indexing and searching of high-dimensional data. In this paper, we propose an efficient indexi...
Imane Daoudi, Saîd El Alaoui Ouatik, A. El K...
EDBT
1998
ACM
155views Database» more  EDBT 1998»
15 years 2 months ago
Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations
Abstract. In this paper, we propose a new bulk-loading technique for high-dimensional indexes which represent an important component of multimedia database systems. Since it is ver...
Stefan Berchtold, Christian Böhm, Hans-Peter ...