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JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
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...
Dongxiao Zhu, Alfred O. Hero III
CG
2005
Springer
13 years 7 months ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang
JPDC
2007
184views more  JPDC 2007»
13 years 7 months ago
Modeling of concurrent web sessions with bounded inconsistency in shared data
Client interactions with modern web-accessible network services are typically organized into sessions involving multiple requests that read and write shared application data. Ther...
Alexander Totok, Vijay Karamcheti
TSP
2008
94views more  TSP 2008»
13 years 7 months ago
Cross-Entropy-Based Sign-Selection Algorithms for Peak-to-Average Power Ratio Reduction of OFDM Systems
Sign-selection uses a set of subcarrier signs to reduce the peak-to-average power ratio (PAR) of orthogonal-frequency-division multiplexing (OFDM). However, the computational compl...
Luqing Wang, Chintha Tellambura
JSS
2007
118views more  JSS 2007»
13 years 7 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd