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» Dense disparity estimation from linear measurements
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TSP
2010
13 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
PICS
2003
13 years 11 months ago
Selection of Training Sets for the Characterisation of Multispectral Imaging Systems
To establish a correlation between the system output and the corresponding reflectance, the system characterisation functionDeriving the actual multispectral data from the output o...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
DAC
2003
ACM
14 years 10 months ago
Performance-impact limited area fill synthesis
Chemical-mechanical planarization (CMP) and other manufacturing steps in very deep-submicron VLSI have varying effects on device and interconnect features, depending on the local ...
Yu Chen, Puneet Gupta, Andrew B. Kahng
DAC
2004
ACM
14 years 10 months ago
Energy characterization of filesystems for diskless embedded systems
The need for low-power, small factor secondary storage device has led to the widespread use of flash memory in embedded systems. The energy consumption of processor and flash base...
Siddharth Choudhuri, Rabi N. Mahapatra
ICASSP
2008
IEEE
14 years 4 months ago
Compressed sensing with sequential observations
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...