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Blind Source Separation of Noisy Observations Using Directionally Constrained Filterbank ICA
No full textPermutation correction of filter bank ICA using static channel characteristics
No full textThis paper exploits static channel characteristics to provide a precise solution to the permutation problem in filter bank approach to Independent Component Analysis (ICA). The filter bank approach combines the high accuracy of time domain ICA and the computational efficiency of frequency domain ICA. Decimation in each sub-band helps in better formulation of the directivity patterns. The nulls of the directivity patterns are dependent on the location of the source signals and this property is used for resolving the permutation problem. The experimental results, show a good behavior with reduced computational complexity and do not require non-stationarity of the signals.This research was supported as a Brain Neuroinformatics Research Program by
Korean Ministry of Science and Technology
Directionally constrained filterbank ICA
No full textA modification is proposed to the independent component analysis (ICA)-based filterbank approach in consideration to its structural similarity with binaural auditory model of sound source localization. The estimated sound locations provide an additional cue to the learning algorithm, which is utilized for initialization and imposition of directional constraints on the subband separation networks. Directionally constrained filterbank ICA (DC-FBICA) gives faster convergence and improves separation performance for noisy mixtures having significant spectral overlap among the convolved mixture and the corrupting noise. However, only slight improvement in separation performance is observed when the additive noise is a low frequency noise, although faster convergence is still observed
Feature Selection using Information Gain Criterion for Individual, Emotion and Gender Recognition of Korean Face Images
No full textA filter bank approach to independent component analysis for convolved mixtures
No full textWe present a filter bank approach to perform independent component analysis (ICA) for convolved mixtures. Input signals are split into subband signals and subsampled. A simplified network performs ICA on the subsampled signals, and finally independent components are synthesized. The proposed approach achieves superior performance than the frequency domain approach and faster convergence with less computational complexity than the time domain approach. Furthermore, it requires shorter unmixing filter length and less computational complexity than other filter bank approaches by designing efficient filter banks. Also, a method is proposed to resolve the permutation and scaling problems of the filter bank approach. (c) 2006 Elsevier B.V. All rights reserved.This work was supported as the Brain Neuroinformatics Research Program sponsored by Korean Ministry of Science and Technology
Unsupervised Feature Extraction and Supervised Feature Selection for Efficient Classification
No full textBlind Source Separation of Noisy Observations using Directionally Constrained Filterbank ICA
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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