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CVPR
2004
IEEE
15 years 11 months ago
Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping
Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
Zhimin Fan, Jie Zhou, Ying Wu
EDBT
1998
ACM
155views Database» more  EDBT 1998»
15 years 1 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 ...
TSP
2008
117views more  TSP 2008»
14 years 9 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
15 years 4 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
ICDE
2003
IEEE
116views Database» more  ICDE 2003»
15 years 11 months ago
Joining Massive High-Dimensional Datasets
We consider the problem of joining massive datasets. We propose two techniques for minimizing disk I/O cost of join operations for both spatial and sequence data. Our techniques o...
Tamer Kahveci, Christian A. Lang, Ambuj K. Singh