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» Causal signal recovery from U-invariant samples
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ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
SIGPRO
2010
122views more  SIGPRO 2010»
13 years 5 months ago
Parameter estimation for exponential sums by approximate Prony method
The recovery of signal parameters from noisy sampled data is a fundamental problem in digital signal processing. In this paper, we consider the following spectral analysis problem...
Daniel Potts, Manfred Tasche
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
12 years 10 months ago
Facial action unit recognition with sparse representation
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
Mohammad H. Mahoor, Mu Zhou, Kevin L. Veon, Seyed ...
IVCNZ
1998
13 years 8 months ago
Duality Principles in Image Processing and Analysis
Duality is a well-established concept in quantum physics. It formalises the fact that what one observes is not nature in itself, but--in Heisenberg's words--"nature expo...
Luc Florack