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» Efficient Discovery of Confounders in Large Data Sets
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3DPVT
2004
IEEE
136views Visualization» more  3DPVT 2004»
15 years 10 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
176
Voted
CIDM
2007
IEEE
16 years 1 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»
15 years 10 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»
15 years 8 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
15 years 1 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