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KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 4 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
CGF
2008
201views more  CGF 2008»
15 years 4 months ago
High-Resolution Volumetric Computation of Offset Surfaces with Feature Preservation
We present a new algorithm for the efficient and reliable generation of offset surfaces for polygonal meshes. The algorithm is robust with respect to degenerate configurations and...
Darko Pavic, Leif Kobbelt
CVPR
1999
IEEE
16 years 6 months ago
High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?
We analyze the problem of detecting a road target in background clutter and investigate the amount of prior (i.e. target specific) knowledge needed to perform this search task. Th...
Alan L. Yuille, James M. Coughlan
EUROPAR
2006
Springer
15 years 7 months ago
Model-Based Performance Diagnosis of Master-Worker Parallel Computations
Parallel performance tuning naturally involves a diagnosis process to locate and explain sources of program inefficiency. Proposed is an approach that exploits parallel computation...
Li Li, Allen D. Malony
VLSID
2004
IEEE
112views VLSI» more  VLSID 2004»
16 years 4 months ago
Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization
It has been observed that even highly optimized software programs perform "redundant" computations during their execution, due to the nature (statistics) of the values a...
Weidong Wang, Anand Raghunathan, Niraj K. Jha