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TIP
2010
13 years 2 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
JMLR
2010
13 years 6 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
DGO
2008
13 years 9 months ago
2008
UrbanSim is a modeling system for simulating the development of urban regions over periods of 20-30 years. Its purpose is to help evaluate alternative proposed policies and transp...
BDIM
2008
IEEE
14 years 2 months ago
2008
IEEE
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...