Separation of independent sources using independent component analysis (ICA) requires prior knowledge of the number of independent sources. Performing ICA when the number of recordings is greater than the number of sources can give erroneous results. To improve the quality of separation, the most suitable recordings have to be identified before performing ICA. Techniques employed to estimate su...

The rotation based transformation (RBT) for privacy preserving data mining (PPDM) is vulnerable to the independent component analysis (ICA) attack. This paper introduces a modified multiple rotation based transformation (MRBT) technique for special mining applications mitigating the ICA attack while maintaining the advantages of the RBT.

We present a novel approach to signal separation using temporal correlations, which may be useful in decomposition of multichannel vibration data into fault-related harmonic activity. Performance of the algorithm with respect to parameter settings is investigated with artiicial data, whereas vibration data from a submsersible pump is used to compare the second-order ICA algorithm to other metho...

We propose a novel method for blind speech separation using continuous time-frequency masking. The method is equipped with an adaptive choice of a threshold parameter that is based on utilization of ICA methods. We present a direct application that consists in the speech segregation for automatic transcription of spoken broadcasts disturbed by background music. Experimental results show improve...

It has been reported that independent component analysis (ICA) of natural image sequences yields spatio-temporal "lters of non-separable spatio-temporal properties. On the contrary, sign changing "lters with separable spatio-temporal properties have not been found via ICA. We show that extending the ICA to temporally convolved inputs develops such receptive "elds (RFs). We argue that temporal c...

The image of an object can vary dramatically depending on lighting, specularities/reflections and shadows. It is often advantageous to separate these incidental variations from the intrinsic aspects of an image. Along these lines this paper describes a method for photographing objects behind glass and digitally removing the reflections off the glass leaving the image of the objects behind the g...

This paper presents a general and robust approach to mitigating impact of outliers in independent component analysis applications. The approach detects and removes outlier samples from the dataset and has minimal impact on the overall performance when the dataset is free of outliers. It also has minimal computational burdens, is simply parameterized, and readily implemented. Significant gains i...

The purpose of this ethnographic study was to compare 12 settings in which housing, attendant assistance, and transportation were shared by clusters of young adults with physical disabilities during the early years of the independent living movement. The settings that were studied were (a) a demonstration independent living program established by a medical rehabilitation facility, (b) a univers...

In the independent component analysis (ICA) it is assumed that the components of the multivariate independent and identically distributed observations are linear transformations of latent independent components. The problem then is to find the (linear) transformation which transforms the observations back to independent components. In the paper the ICA is discussed and it is shown that, under s...