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» Estimation of Binary Images by Minimizing Convex Criteria
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ECCV
2008
Springer
16 years 1 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....
DICTA
2008
15 years 1 months ago
Image Reconstruction from Contrast Information
An iterative algorithm for the reconstruction of natural images given only their contrast map is presented. The solution is neuro-physiologically inspired, where the retinal cells...
Asim A. Khwaja, Roland Goecke
ICIP
2006
IEEE
16 years 1 months ago
Theoretical Model of the Coding Error in MCWT Video Coders
In motion-compensated wavelet based video coders (MCWT), it is known that a precise motion estimation is necessary to minimize the wavelet coefficients energy. However, a motion v...
Marie Andrée Agostini, Marc Antonini
JMLR
2002
89views more  JMLR 2002»
14 years 11 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
SAC
2003
ACM
15 years 4 months ago
A Markov Random Field Model of Microarray Gridding
DNA microarray hybridisation is a popular high throughput technique in academic as well as industrial functional genomics research. In this paper we present a new approach to auto...
Mathias Katzer, Franz Kummert, Gerhard Sagerer