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» Dynamic Spatial Approximation Trees for Massive Data
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SSD
2001
Springer
162views Database» more  SSD 2001»
14 years 11 days ago
Interval Sequences: An Object-Relational Approach to Manage Spatial Data
The design of external index structures for one- and multidimensional extended objects is a long and well studied subject in basic database research. Today, more and more commercia...
Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
ISBI
2008
IEEE
14 years 8 months ago
Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling
Multi-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on within-subject studies, which are usually conducted using a massively univariate approach. In...
Philippe Ciuciu, Thomas Vincent, Anne-Laure Fouque...
JCNS
2010
90views more  JCNS 2010»
13 years 2 months ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski
STOC
2006
ACM
138views Algorithms» more  STOC 2006»
14 years 8 months ago
Searching dynamic point sets in spaces with bounded doubling dimension
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
Richard Cole, Lee-Ad Gottlieb
NIPS
2004
13 years 9 months ago
An Investigation of Practical Approximate Nearest Neighbor Algorithms
This paper concerns approximate nearest neighbor searching algorithms, which have become increasingly important, especially in high dimensional perception areas such as computer v...
Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Y...