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ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
15 years 5 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...
EDBT
2000
ACM
15 years 3 months ago
Dynamically Optimizing High-Dimensional Index Structures
In high-dimensional query processing, the optimization of the logical page-size of index structures is an important research issue. Even very simple query processing techniques suc...
Christian Böhm, Hans-Peter Kriegel
COCOON
1998
Springer
15 years 2 months ago
The Colored Sector Search Tree: A Dynamic Data Structure for Efficient High Dimensional Nearest-Foreign-Neighbor Queries
Abstract. In this paper we present the new data structure Colored Sector Search Tree (CSST ) for solving the Nearest-Foreign-Neighbor Query Problem (NFNQP ): Given a set S of n col...
Thomas Graf, V. Kamakoti, N. S. Janaki Latha, C. P...
JMLR
2002
137views more  JMLR 2002»
14 years 10 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
WSC
2001
15 years 1 days ago
Dimensionality analysis of a simulation outcome space
This paper investigates the dimensionality characteristics of the outcome space of a combat simulation. The independent state variables of all of the outcome states for a simulati...
John B. Gilmer Jr., Frederick J. Sullivan