1137 search results - page 15 / 228 » Parametric Process Model Inference |
127
Voted
CODES
2006
IEEE
15 years 8 months ago
2006
IEEE
Process variability has a detrimental impact on the performance of memories and other system components, which can lead to parametric yield loss at the system level due to timing ...
140
Voted
PROMISE
2010
14 years 9 months ago
2010
Background: There are many data mining methods but few comparisons between them. For example, there are at least two ways to build quality optimizers, programs that find project o...
128
Voted
NIPS
2008
15 years 3 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
93
Voted
ICASSP
2007
IEEE
15 years 8 months ago
2007
IEEE
The efficiency of most pitch estimation methods declines when the analyzed frame is shortened and/or when a wide fundamental frequency (F0) range is targeted. The technique propo...
145
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...