IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. The Matrix-Pencil approach to blind source separation estimates the mixing matrix from the Generalized Eigenvalue Decomposition (GEVD), or Exact Joint Diagonalization, of...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Underdetermined source separation is often carried out by modeling time-frequency source coefficients via a fixed sparse prior. This approach fails when the number of active sourc...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
The problem of removing white zero-mean Gaussian noise from an image is an interesting inverse problem to be investigated in this paper through sparse and redundant representations...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
We consider a method for solving the permutation problem in blind source separation (BSS) by the frequency-domain independent component analysis (FD-ICA) by using phase linearity o...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Joint diagonalization for ICA is often performed on the orthogonal group after a pre-whitening step. Here we assume that we only want to extract a few sources after pre-w...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelih...