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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 1 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
EUROGRAPHICS
2010
Eurographics
16 years 1 months ago
Mesh Decomposition with Cross-Boundary Brushes
We present a new intuitive UI, which we call cross-boundary brushes, for interactive mesh decomposition. The user roughly draws one or more strokes across a desired cut and our sy...
Youyi Zheng and Chiew-Lan Tai
147
Voted
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 11 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
FOCS
2009
IEEE
15 years 11 months ago
Distance Oracles for Sparse Graphs
Abstract— Thorup and Zwick, in their seminal work, introduced the approximate distance oracle, which is a data structure that answers distance queries in a graph. For any integer...
Christian Sommer 0002, Elad Verbin, Wei Yu
154
Voted
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
15 years 11 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
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