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» Hierarchical Structuring of Data on Manifolds
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CVPR
2010
IEEE
14 years 1 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
IPMI
2005
Springer
14 years 8 months ago
Analysis of Event-Related fMRI Data Using Diffusion Maps
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
François G. Meyer, Xilin Shen
SSD
1989
Springer
62views Database» more  SSD 1989»
13 years 11 months ago
Hierarchical Spatial Data Structures
An overview is presented of the use of hierarchical spatial data structures such as the quadtree. They are based on the principle of recursive decomposition. The focus is on the r...
Hanan Samet
GBRPR
2009
Springer
14 years 5 days ago
From Random to Hierarchical Data through an Irregular Pyramidal Structure
This paper proposes to transform data scanned randomly in a well-defined space (e.g, Euclidean) along a hierarchical irregular pyramidal structure in an attempt reduce search time...
Rimon Elias, Mohab Al Ashraf, Omar Aly
GFKL
2004
Springer
107views Data Mining» more  GFKL 2004»
14 years 29 days ago
Hierarchical Mixture Models for Nested Data Structures
A hierarchical extension of the finite mixture model is presented that can be used for the analysis of nested data structures. The model permits a simultaneous model-based cluster...
Jeroen K. Vermunt, Jay Magidson