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» Hierarchical Structuring of Data on Manifolds
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92
Voted
SMI
2010
IEEE
204views Image Analysis» more  SMI 2010»
14 years 11 months ago
Generalized PolyCube Trivariate Splines
Abstract—This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new frame...
Bo Li, Xin Li, Kexiang Wang, Hong Qin
PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
14 years 11 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
96
Voted
ISBI
2004
IEEE
16 years 1 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
130
Voted
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 19 days ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
94
Voted
INFOVIS
2002
IEEE
15 years 5 months ago
Multiple Foci Drill-Down through Tuple and Attribute Aggregation Polyarchies in Tabular Data
Information analysis often involves decomposing data into sub-groups to allow for comparison and identification of relationships. Breakdown Visualization provides a mechanism to s...
Nathan Conklin, Sandeep Prabhakar, Chris North