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ICML
2009
IEEE
15 years 10 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
CVPR
2001
IEEE
15 years 11 months ago
Bayesian Color Constancy for Outdoor Object Recognition
Outdoor scene classification is challenging due to irregular geometry, uncontrolled illumination, and noisy reflectance distributions. This paper discusses a Bayesian approach to ...
Yanghai Tsin, Robert T. Collins, Visvanathan Rames...
BMCBI
2006
133views more  BMCBI 2006»
14 years 9 months ago
Choosing negative examples for the prediction of protein-protein interactions
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
Asa Ben-Hur, William Stafford Noble
CCE
2005
14 years 9 months ago
Use of parallel computers in rational design of redundant sensor networks
A general method to design optimal redundant sensor network even in the case of one sensor failure and able to estimate process key parameters within a required accuracy is propos...
Carine Gerkens, Georges Heyen
ISPA
2004
Springer
15 years 3 months ago
HPL Performance Prevision to Intending System Improvement
HPL is a parallel Linpack benchmark package widely adopted in massive cluster system performance test. On HPL data layout among processors, a law to determine block size NB theoret...
Wenli Zhang, Mingyu Chen, Jianping Fan