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» Estimating random variables from random sparse observations
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IJCV
2006
171views more  IJCV 2006»
13 years 7 months ago
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
Rómer Rosales, Stan Sclaroff
ICASSP
2010
IEEE
13 years 7 months ago
On expectation maximization based channel and noise estimation beyond the vector Taylor series expansion
In this work, we show how expectation maximization based simultaneous channel and noise estimation can be derived without a vector Taylor series expansion. The central idea is to ...
Friedrich Faubel, John W. McDonough, Dietrich Klak...
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 7 months ago
Efficient Sketches for the Set Query Problem
We develop an algorithm for estimating the values of a vector x Rn over a support S of size k from a randomized sparse binary linear sketch Ax of size O(k). Given Ax and S, we ca...
Eric Price
ICASSP
2008
IEEE
14 years 2 months ago
Compressive wireless arrays for bearing estimation
Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the sum of the individual sensor processing result...
Volkan Cevher, Ali Cafer Gurbuz, James H. McClella...
CVPR
2008
IEEE
14 years 9 months ago
Simultaneous image transformation and sparse representation recovery
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas