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» Challenges: an application model for pervasive computing
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SAMOS
2005
Springer
15 years 10 months ago
Modeling NoC Architectures by Means of Deterministic and Stochastic Petri Nets
The design of appropriate communication architectures for complex Systems-on-Chip (SoC) is a challenging task. One promising alternative to solve these problems are Networks-on-Chi...
Holger Blume, Thorsten von Sydow, Daniel Becker, T...
ICIP
2005
IEEE
16 years 6 months ago
Robust tracking with motion estimation and kernel-based color modelling
Visual tracking is still a challenging problem in computer vision. The applications of Visual Tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. I...
Patrick Bouthemy, Patrick Pérez, R. Venkate...
SIAMSC
2008
198views more  SIAMSC 2008»
15 years 4 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
EMNLP
2010
15 years 2 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
VRST
2009
ACM
15 years 11 months ago
A semantic environment model for crowd simulation in multilayered complex environment
Simulating crowds in complex environment is fascinating and challenging, however, modeling of the environment is always neglected in the past, which is one of the essential proble...
Hao Jiang, Wenbin Xu, Tianlu Mao, Chunpeng Li, Shi...