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CVPR
2007
IEEE
14 years 2 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
14 years 15 days ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
VIS
2003
IEEE
145views Visualization» more  VIS 2003»
14 years 9 months ago
Signed Distance Transform Using Graphics Hardware
This paper presents a signed distance transform algorithm using graphics hardware, which computes the scalar valued function of the Euclidean distance to a given manifold of co-di...
Christian Sigg, Markus H. Gross, Ronald Peikert
PLDI
2005
ACM
14 years 1 months ago
Automatic pool allocation: improving performance by controlling data structure layout in the heap
This paper describes Automatic Pool Allocation, a transformation framework that segregates distinct instances of heap-based data structures into seperate memory pools and allows h...
Chris Lattner, Vikram S. Adve
CRV
2008
IEEE
165views Robotics» more  CRV 2008»
14 years 2 months ago
Hierarchical Stereo with Thin Structures and Transparency
Dense stereo algorithms rely on matching over a range of disparities. To speed up the search and reduce match ambiguity, processing can be embedded in the hierarchical, or coarse-...
Mikhail Sizintsev