1,720,975 research outputs found
Random Matrices, Geometric Functional Analysis and Algorithms
No full textThe workshop gathered close to 50 participants on the topics of random matrix theory, high dimensional convex geometry and probabilistic methods in theoretical computer science. It favored cooperation between researchers in these interlaced areas by providing an interacting working atmosphere most appreciated by the participants. We hope this workshop will advance the developments at these interfaces further
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Random Matrices, Geometric Functional Analysis and Algorithms
Get PDFThe workshop gathered close to 50 participants on the topics of random matrix theory, high dimensional convex geometry and probabilistic methods in theoretical computer science. It favored cooperation between researchers in these interlaced areas by providing an interacting working atmosphere most appreciated by the participants. We hope this workshop will advance the developments at these interfaces further
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
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Obstructions to embeddabillity of metric spaces in spaces: Property
No full textI'll present a few inequalities on metric spaces holding for and other natural spaces. One of these inequalities can serve as the metric analogue of (Pisier's) property and serves as an obstruction to the Lipschitz(and uniform) embeddability of (some discrete subsets of) Schatten classes into spaces.
Joint work with Assaf Naor.Non UBCUnreviewedAuthor affiliation: Weizmann Institute of ScienceFacult
No good dimension reduction in the trace class norm
No full textI'll present a result of Assaf Naor, Gilles Pisier and myself: Let denote the Schatten--von Neumann trace class, i.e., the Banach space of all compact operators whose trace class norm is finite, where are the singular values of . We prove that for arbitrarily large there exists a subset with that cannot be embedded with bi-Lipschitz distortion into any -dimensional linear subspace of . This extends a well known result of Brikmann and Charikar (2003) who proved a similar result with replacing . It stand in sharp dichotomy with the Johnson--Lindenstrauss lemma (1984) which says that the situation in is very different.Non UBCUnreviewedAuthor affiliation: Weizmann InstituteFacult
Two observations regarding embedding subsets of Euclidean spaces in normed spaces
No full textAbstractThis paper contains two results concerning linear embeddings of subsets of Euclidean space in low-dimensional normed spaces. The first is an improvement of the known dependence on ɛ in Dvoretzky's theorem from order of ɛ2 to order of ɛ (except for log factors). The second is a joint generalization of (Milman's version of) Dvoretzky's theorem and (a recent generalization by Klartag and Mendelson of) the Johnson–Lindenstrauss Lemma
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