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SAC
2011
ACM
14 years 3 months ago
Parallel multivariate slice sampling
Slice sampling provides an easily implemented method for constructing a Markov chain Monte Carlo (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it requires...
Matthew M. Tibbits, Murali Haran, John C. Liechty
TSP
2008
117views more  TSP 2008»
15 years 14 days ago
A Theory for Sampling Signals From a Union of Subspaces
One of the fundamental assumptions in traditional sampling theorems is that the signals to be sampled come from a single vector space (e.g. bandlimited functions). However, in many...
Yue M. Lu, Minh N. Do
PERCOM
2005
ACM
16 years 5 days ago
Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples
WLAN location estimation based on 802.11 signal strength is becoming increasingly prevalent in today's pervasive computing applications. As alternative to the wellestablished...
Xiaoyong Chai, Qiang Yang
111
Voted
EDBT
2009
ACM
131views Database» more  EDBT 2009»
15 years 3 months ago
Sample synopses for approximate answering of group-by queries
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
Philipp Rösch, Wolfgang Lehner
107
Voted
ISVC
2010
Springer
14 years 11 months ago
Introducing Fuzzy Spatial Constraints in a Ranked Partitioned Sampling for Multi-object Tracking
Dealing with multi-object tracking in a particle filter raises several issues. A first essential point is to model possible interactions between objects. In this article, we repr...
Nicolas Widynski, Séverine Dubuisson, Isabe...