Adolpf Molling, Janet Krakauer nee McColl, Hymie Joachim and Thomas Krakauer (l-r); Weggis, Switzerland Portraits Groups

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Portrait of (l-r) unidentified man, Thomas Mann, Singer (painter), Lion Feuchtwanger and unidentified man Portraits Groups Men

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Reiss family portrait; (l-r) Olga, Herbert, Flora Lotte, Walter, Moritz and Kurt; Saaz, Czechoslovakia Portraits Family

Olga Reiss nee Kohn died 1950s; Herbert Reiss, 1905-circa 1980; Flora Lotte "Lola" Reiss, 1910-1995; Walter Reiss, 1908-1937; Moritz Reiss, 1876-1965; Kurt Reiss, 1906-1996

Studio portrait of the six daughters of Solomon and Emilie Kohnberger: (l-r) Laura, Irene, Johanna, Melanie, Hermine and Martha.

Laura (1878-1917) died during a flu epidemic. She married Sigmund Stiassny and had two children, Lisbeth (Gersuny) (1900-1986) and Walter (1902-1912) who died of a ruptured appendix.

Lilly Baum, her mother Lina Baum, and Grete Baum nee Dublon (l-r) standing in a forest Portraits Women

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Kisch family portrait; Alexander, Mizzi, Charlotte, Guido and Bruno (l-r); Prague.

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Studio portrait of infant twins Beatrice and Fred Herz (l-r).

The Herz twins were born 4 February 1913

Reproduction of grammar school class portrait including Ella, Beatrice and Rose Herz (circled l-r).

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Adolpf Molling, Janet Krakauer nee McColl, Hymie Joachim and Thomas Krakauer (l-r); Weggis, Switzerland Portraits Groups

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Family portrait of (back l-r) Frieda Arens, Fritz Unger, Gustav Arens, Grete Glasner, (front l-r) Lise Arens, Gitta Unger and Ernst Glasner.

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Studio portrait of infant twins Beatrice and Fred Herz (l-r).

The Herz twins were born 4 February 1913

Reproduction of grammar school class portrait including Ella, Beatrice and Rose Herz (circled l-r).

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Sitting l-r Rabbi Dudley Weinberg, Leo Baeck, Joseph H. Cohen, Dr. Joshua Liebman; Standing l-r Max Feldberg, Louis Salvage, Rabbi Beryl D. Cohon, Harry Penn, Abraham Schiller; Boston Portraits; Groups; Men

Page 58 of the "American Jewish Cavalcade" scrapbook of Leo Baeck in New York found in ROS 10 Folder 3

Studies on Plant Demography: Ranunculus Repens L., R. Bulbosus L. and R. Acris L.: III. A Mathematical Model Incorporating Multiple Modes of Reproduction

This paper presents a comparative population dynamics study of three closely related species of buttercups (Ranunculus repens, R. acris, and R. bulbosus). The study is based on an investigation of the behaviour of the seeds in soil under field conditions and a continuous monitoring of survival and reproduction of some 9000 individual plants over a period of 21/2 years in a coastal grassland in North Wales. The data were analysed with the help of an extension of Leslie's matrix method which makes possible an simultaneous treatment of vegetative and sexual reproduction. It was found that R. repens (a) depends more heavily on vegetative as compared with sexual reproduction, (b) shows indications of negatively density-dependent population regulation, and (c) exhibits little variation in population growth rates from site to site and from one year to the next. In contrast, R. bulbosus (a) depends exclusively on sexual reproduction, (b) shows indications of a positively density-dependent population behaviour, and (c) exhibits great variation in population growth rates from site to site and from one year to the next. R. acris exhibits an intermediate behaviour in all these respects. It is suggested that the attributes of R. repens are those expected of a species inhabiting a stable environment, while R. bulbosus exhibits some of the characteristics of a fugitive species.

l(1)-K-SVD: A robust dictionary learning algorithm with simultaneous update

We develop a new dictionary learning algorithm called the l(1)-K-svp, by minimizing the l(1) distortion on the data term. The proposed formulation corresponds to maximum a posteriori estimation assuming a Laplacian prior on the coefficient matrix and additive noise, and is, in general, robust to non-Gaussian noise. The l(1) distortion is minimized by employing the iteratively reweighted least-squares algorithm. The dictionary atoms and the corresponding sparse coefficients are simultaneously estimated in the dictionary update step. Experimental results show that l(1)-K-SVD results in noise-robustness, faster convergence, and higher atom recovery rate than the method of optimal directions, K-SVD, and the robust dictionary learning algorithm (RDL), in Gaussian as well as non-Gaussian noise. For a fixed value of sparsity, number of dictionary atoms, and data dimension, l(1)-K-SVD outperforms K-SVD and RDL on small training sets. We also consider the generalized l(p), 0 < p < 1, data metric to tackle heavy-tailed/impulsive noise. In an image denoising application, l(1)-K-SVD was found to result in higher peak signal-to-noise ratio (PSNR) over K-SVD for Laplacian noise. The structural similarity index increases by 0.1 for low input PSNR, which is significant and demonstrates the efficacy of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.