354 search results - page 13 / 71 » Estimating random variables from random sparse observations |
BMCBI
2007
13 years 7 months ago
2007
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We recast the Cosegmentation problem using Random Walker (RW) segmentation as the core segmentation algorithm, rather than the traditional MRF approach adopted in the literature s...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
NIPS
2008
13 years 9 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...