ICA
2007
Springer
13 years 10 months ago
2007
Springer
In this work, we deal with blind source separation of a class of nonlinear mixtures. The proposed method can be regarded as an adaptation of the solutions developed in [1, 2] to th...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
In this paper, we propose to use the Huber M-estimator cost function as a contrast function within the complex FastICA algorithm of Bingham and Hyvarinen for the blind separation o...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This paper deals with the problem of Blind Source Separation. Contrary to the vast majority of works, we do not assume the statistical independence between the sources an...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
We consider Independent Component Analysis (ICA) for the case of binary sources, where addition has the meaning of the boolean “Exclusive Or” (XOR) operation. Thus, each mixtur...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Renyi’s entropy-based criterion has been proposed as an objective function for independent component analysis because of its relationship with Shannon’s entropy and i...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Visual perception of transformation invariance, such as translation, rotation and scaling, is one of the important functions of processing visual information in the Brain...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...