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IPPS
2006
IEEE
14 years 2 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
IAT
2008
IEEE
14 years 3 months ago
Finding Minimum Data Requirements Using Pseudo-independence
In situations where Bayesian networks (BN) inferencing approximation is allowable, we show how to reduce the amount of sensory observations necessary and in a multi-agent context ...
Yoonheui Kim, Victor R. Lesser
ICCV
2005
IEEE
14 years 2 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
ICASSP
2009
IEEE
14 years 3 months ago
Multi-channel audio segmentation for continuous observation and archival of large spaces
In most real-world situations, a single microphone is insufficient for the characterization of an entire auditory scene. This often occurs in places such as office environments ...
Gordon Wichern, Harvey D. Thornburg, Andreas Spani...
IDA
2010
Springer
13 years 10 months ago
Data Mining for Modeling Chiller Systems in Data Centers
We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lac...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...