74 search results - page 6 / 15 » Compressed sensing with sequential observations |
KES
2008
Springer
13 years 7 months ago
2008
Springer
I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict or compress the data...
AAAI
2010
13 years 9 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...