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NECO
1998
119views more  NECO 1998»
13 years 9 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
TIP
2002
129views more  TIP 2002»
13 years 8 months ago
A vision-based masking model for spread-spectrum image watermarking
Abstract-- We present a perceptual model for hiding a spreadspectrum watermark of variable amplitude and density in an image. The model takes into account the sensitivity and maski...
Martin Kutter, Stefan Winkler
ICCD
1997
IEEE
90views Hardware» more  ICCD 1997»
14 years 24 days ago
TITAC-2: An asynchronous 32-bit microprocessor based on Scalable-Delay-Insensitive model
Asynchronous design has a potential of solving many difficulties, such as clock skew and power consumption, which synchronous counterpart suffers with current and future VLSI tech...
Akihiro Takamura, Masashi Kuwako, Masashi Imai, Ta...
IDEAL
2009
Springer
14 years 1 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
CCGRID
2005
IEEE
14 years 2 months ago
User group-based workload analysis and modelling
Knowledge about the workload is an important aspect for scheduling of resources as parallel computers or Grid components. As the scheduling quality highly depends on the character...
Baiyi Song, Carsten Ernemann, Ramin Yahyapour