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ICASSP
2011
IEEE
14 years 10 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
CORR
2006
Springer
119views Education» more  CORR 2006»
15 years 6 months ago
Network Inference from Co-Occurrences
The study of networked systems is an emerging field, impacting almost every area of engineering and science, including the important domains of communication systems, biology, soc...
Michael Rabbat, Mário A. T. Figueiredo, Rob...
ISSTA
2006
ACM
16 years 4 days ago
Architecture-driven platform independent deterministic replay for distributed hard real-time systems
Distributed hard real-time systems have become a major component of many advanced technical products. Means to ensure their proper quality are thus of paramount importance. To ens...
Holger Giese, Stefan Henkler
AMDO
2006
Springer
15 years 10 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa
CAV
2010
Springer
190views Hardware» more  CAV 2010»
15 years 9 months ago
Measuring and Synthesizing Systems in Probabilistic Environments
Often one has a preference order among the different systems that satisfy a given specification. Under a probabilistic assumption about the possible inputs, such a preference order...
Krishnendu Chatterjee, Thomas A. Henzinger, Barbar...