8 search results - page 1 / 2 » Clustering of bootstrapped acoustic model with full covarian... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
JCB
2007
13 years 4 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
SC
2009
ACM
13 years 11 months ago
2009
ACM
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...
ICAC
2006
IEEE
13 years 11 months ago
2006
IEEE
Traditional High Performance Computing systems require extensive management and suffer from security and configuration problems. This paper presents a new clustermanagement syste...
JMLR
2010
12 years 11 months ago
2010
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...