1,720,967 research outputs found
Blind Extraction Of Sparse Components Based On L0-norm Minimization
No full textWe investigate the application of cost functions based on the 0-norm to the problem of blind source extraction (BSE). We show that if the sources have different levels of sparsity, then the minimization of the 0-norm leads to the extraction of the sparsest component even when the sources are statistically dependent. We also study the conditions guaranteeing BSE when an approximation of the 0-norm is considered. Finally, we provide a numerical example to illustrate the applicability of our proposal. © 2011 IEEE.617620Comon, P., Jutten, C., (2010) Handbook of Blind Source Separation: Independent Component Analysis and Applications, , Academic PressDelfosse, N., Loubaton, P., Adaptive blind separation of independent sources: A deflation approach (1995) Signal Processing, 45, pp. 59-83Hyvärinen, A., Karhunen, J., Oja, E., (2001) Independent Component Analysis, , John Wiley & SonsMourad, N., Reilly, J.P., Blind extraction of sparse sources (2010) Proc. of IEEE ICASSP, pp. 2666-2669Nadalin, E.Z., Takahata, A.K., Duarte, L.T., Suyama, R., Attux, R., Blind extraction of the sparsest component (2010) LNCS, 6365, pp. 263-270Elad, M., (2010) Sparse and Redundant Representations from Theory to Applications in Signal and Image Processing, , SpringerBabaie-Zadeh, H., Mohimani, M., Jutten, C., A fast approach for overcomplete sparse decomposition based on smoothed l0 norm (2009) IEEE Trans. on Sig. Proc., 57, pp. 289-301Weston, J., Elisseeff, A., Schölkopf, B., Use of the zeronorm with linear models and kernel methods (2003) Jour. of Machine Lear. Res., 3, pp. 1439-146
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Separation Of Sparse Signals In Overdetermined Linear-quadratic Mixtures
No full textIn this work, we deal with the problem of nonlinear blind source separation (BSS). We propose a new method for BSS in overdetermined linear-quadratic (LQ) mixtures. By exploiting the assumption that the sources are sparse in a transformed domain, we define a framework for canceling the nonlinear part of the mixing process. After that, separation can be conducted by linear BSS algorithms. Experiments with synthetic data are performed to assess the viability of our proposal. © 2012 Springer-Verlag.7191 LNCS239246Yitzhak Chaya Weinstein Res. Inst. Signal Process.,Tel-Aviv University,The Technion - Israel Institute of Technology,Bar-Ilan University,The Advanced Communication CenterComon, P., Jutten, C., (2010) Handbook of Blind Source Separation, Independent Component Analysis and Applications, , Academic Press, ElsevierRomano, J.M.T., Attux, R.R.F., Cavalcante, C.C., Suyama, R., (2011) Unsupervised Signal Processing: Channel Equalization and Source Separation, , CRC PressDuarte, L.T., Jutten, C., Moussaoui, S., A Bayesian nonlinear source separation method for smart ion-selective electrode arrays (2009) IEEE Sensors Journal, 9 (12), pp. 1763-1771Meganem, I., Deville, Y., Hosseini, S., Déliot, P., Briottet, X., Duarte, L.T., Linear-quadratic and polynomial non-negative matrix factorizationapplication to spectral unmixing (2011) Proc. of the 19th European Signal Processing Conference, EUSIPCO 2011Jutten, C., Karhunen, J., Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures (2004) International Journal of Neural Systems, 14, pp. 267-292Comon, P., Independent component analysis, a new concept? (1994) Signal Processing, 36, pp. 287-314Hosseini, S., Deville, Y., Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure (2003) LNCS, 2687, pp. 241-248. , Mira, J., Álvarez, J.R. (eds.) IWANN 2003. Springer, HeidelbergMerrikh-Bayat, F., Babaie-Zadeh, M., Jutten, C., Linear-quadratic blind source separating structure for removing show-through in scanned documents (2010) International Journal on Document Analysis and Recognition, pp. 1-15Bedoya, G., (2006) Nonlinear Blind Signal Separation for Chemical Solid-state Sensor Arrays, , PhD thesis, Universitat Politecnica de CatalunyaDeville, Y., Hosseini, S., Recurrent networks for separating extractable-target non-linear mixtures. part i: Non-blind configurations (2009) Signal Processing, 89, pp. 378-393Castella, M., Inversion of polynomial systems and separation of nonlinear mixtures of finite-alphabet sources (2008) IEEE Trans. on Sig. Proc., 56 (8), pp. 3905-3917Abed-Meraim, K., Belouchrani, A., Hua, Y., Blind identification of a linear-quadratic mixture of independent components based on joint diagonalization procedure Proc. of the IEEE Inter. Conf. on Acous., Spee., and Signal Processing, ICASSP (1996)Deville, Y., Hosseini, S., Blind identification and separation methods for linear-quadratic mixtures and/or linearly independent non-stationary signals Proc. of the 9th Int. Symp. on Sig. Proc. and Its App., ISSPA (2007)Duarte, L.T., Suyama, R., Attux, R., Deville, Y., Romano, J.M.T., Jutten, C., Blind Source Separation of Overdetermined Linear-Quadratic Mixtures (2010) LNCS, 6365, pp. 263-270. , Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds.) LVA/ICA 2010. Springer, HeidelbergElad, M., (2010) Sparse and Redundant Representations from Theory to Applications in Signal and Image Processing, , Springer, HeidelbergMohimani, H., Babaie-Zadeh, M., Jutten, C., A fast approach for overcomplete sparse decomposition based on smoothed ℓ 0 norm (2009) IEEE Transactions on Signal Processing, 57 (1), pp. 289-301Duarte, L.T., Suyama, R., Attux, R., Romano, J.M.T., Jutten, C., Blind extraction of sparse components based on ℓ 0-norm minimization Proc. of the IEEE Statistical Signal Processing Workshop, SSP (2011
Variations on the Author
Full text link“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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
