1381 search results - page 40 / 277 » Fast Filtered Sampling |
76
Voted
VVS
1998
IEEE
15 years 2 months ago
1998
IEEE
The correct choice of function and derivative reconstruction filters is paramount to obtaining highly accurate renderings. Most filter choices are limited to a set of commonly use...
UAI
2000
14 years 11 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
163
Voted
ISQED
2007
IEEE
15 years 4 months ago
2007
IEEE
Problems in computational finance share many of the characteristics that challenge us in statistical circuit analysis: high dimensionality, profound nonlinearity, stringent accura...
ICCAD
1998
IEEE
15 years 2 months ago
1998
IEEE
We present a fast, dynamic fault coverage estimation technique for sequential circuits that achieves high degrees of accuracy by signi cantly reducing the number of injected fault...
ISBI
2009
IEEE
15 years 5 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...