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» On Randomized Lanczos Algorithms
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CVPR
2000
IEEE
16 years 8 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
ECCV
2008
Springer
16 years 8 months ago
Search Space Reduction for MRF Stereo
We present an algorithm to reduce per-pixel search ranges for Markov Random Fields-based stereo algorithms. Our algorithm is based on the intuitions that reliably matched pixels ne...
Liang Wang, Hailin Jin, Ruigang Yang
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
16 years 8 months ago
Bypass Caching: Making Scientific Databases Good Network Citizens
Scientific database federations are geographically distributed and network bound. Thus, they could benefit from proxy caching. However, existing caching techniques are not suitabl...
Tanu Malik, Randal C. Burns, Amitabh Chaudhary
DAC
2008
ACM
16 years 7 months ago
Stochastic integral equation solver for efficient variation-aware interconnect extraction
In this paper we present an efficient algorithm for extracting the complete statistical distribution of the input impedance of interconnect structures in the presence of a large n...
Tarek Moselhy, Luca Daniel
DAC
2004
ACM
16 years 7 months ago
STAC: statistical timing analysis with correlation
Current technology trends have led to the growing impact of both inter-die and intra-die process variations on circuit performance. While it is imperative to model parameter varia...
Jiayong Le, Xin Li, Lawrence T. Pileggi