312 search results - page 38 / 63 » Iterative compression and exact algorithms |
CORR
2008
Springer
13 years 10 months ago
2008
Springer
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstructio...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...
SWAT
2010
Springer
14 years 2 months ago
2010
Springer
Given a permutation π of {1, . . . , n} and a positive integer k, we give an algorithm with running time 2O(k2 log k) nO(1) that decides whether π can be partitioned into at mos...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
ICML
2001
IEEE
14 years 10 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...