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ICDE
2009
IEEE
15 years 8 months ago
2009
IEEE
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult
for the d...
ICCV
2007
IEEE
13 years 10 months ago
2007
IEEE
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
JMLR
2010
13 years 3 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
ICIP
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
ECSQARU
2005
Springer
14 years 2 months ago
2005
Springer
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...