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» Efficient Discovery of Confounders in Large Data Sets
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3DPVT
2004
IEEE
136views Visualization» more  3DPVT 2004»
14 years 2 months ago
Efficient Model Creation of Large Structures based on Range Segmentation
This paper describes an efficient 3D modeling method from 3D range data-sets that is utilizing range data segmentation. Our algorithm starts with a set of unregistered 3D range sc...
Ioannis Stamos, Marius Leordeanu
CIDM
2007
IEEE
14 years 4 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
GCB
2000
Springer
99views Biometrics» more  GCB 2000»
14 years 1 months ago
Structure Motif Discovery and Mining the PDB
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, ...
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
13 years 11 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
COLING
2010
13 years 5 months ago
Varro: An Algorithm and Toolkit for Regular Structure Discovery in Treebanks
The Varro toolkit is a system for identifying and counting a major class of regularity in treebanks and annotated natural language data in the form of treestructures: frequently r...
Scott Martens