1,922 research outputs found
Beyond the Catholic-Protestant divide : religious and ethnic diversity in the North and South of Ireland
No full textPaper presented to the IBIS conference Old structures, new beliefs: religion, community and politics in contemporary Ireland, University College Dublin, 15 May 2003.This paper explores the challenges posed by the ethnic diversification of contemporary Irish society for conventional understandings of and responses to issues of religion, community and politics. It argues that the particularities of social and institutional histories and structures in the North and South have eclipsed wider considerations of both race and ethnicity and religious identity beyond the Catholic-Protestant divide. This has, in turn, served to obscure the many dynamic changes that such diversity has catalysed both within Irish civil society generally, and within the island’s traditional religious institutions themselves. The paper discusses the promises and potentials of conceptualising religion or religious identity and the relationships between religion and ethnicity within broader cultural and political fields, and their implications for the “new” (multicultural) Ireland.Not applicableti -TS 07.07.10
Author is part of the school of Sociolog
Dr. Sharon Feldman – Faculty Author Interview
No full textSharon Feldman, Professor of Spanish and Catalan Studies and Chair of the Department of Latin American and Iberian Studies discusses her new book, In the Eye of the Storm: Contemporary Theater in Barcelona. Barcelona is presently experiencing the most dynamic period in its modern theater history. This book describes some of the crucial moments and back stories, as well as some of the theatre companies and playwrights, that have shaped the theatrical life of the city of Barcelona in the aftermath of the Franco dictatorship
Satisfying the Chemicals
No full textA Thesis Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Master of Fine Arts by Ezra Dan Feldman, January 200
Luncheon Speaker
No full textSpeaker:Noah Feldman (Harvard) (Author, What We Owe Iraq: War and the Ethics of Nation Building)
Video of Luncheon Speake
A Dual Model of Cooperative Value
No full textAn expanded model of value in cooperative games is presented in which value has either a linear or a proportional mode, and NTU value has either an input or an output basis. In TU games, the modes correspond to the Shapley (1953) and proportional (Feldman (1999) and Ortmann (2000)) values. In NTU games, the Nash (1950) bargaining solution and the Owen- Maschler (1989, 1992) value have a linear mode and an input basis. The egalitarian value (Kalai and Samet (1985)) has a linear mode and an output basis. The output-basis NTU proportional value (Feldman (1999)) and the input-basis variant, identified here, complete the model. The TU proportional value is shown to have a random marginal contribution representation and to be in the core of a positive convex game. The output-basis NTU variant is shown to be the unique efficient Hart and Mas-Colell consistent NTU value based on equal proportional gain in two-player TU games. Both NTU proportional values are shown to be equilibrium payoffs in variations of the bargaining game of Hart and Mas-Colell (1996). In these variations, players' probabilities of participation at any point in the game are a function of their expected payoff at that time. Limit results determine conditions under which players with zero individual worth receive zero value. Further results show the distinctive nature of proportional allocations to players with small individual worths. In an example with a continuum of players bargaining with a monopolist, the monopolist obtains the entire surplus.cooperative game, value, mode, basis, bilateral cooperation, endogenous bargaining power, potential, equal proportional gain, consistency, noncooperative bargaining, zero players, monopoly
Essentials of Understanding Psychology 9th Ed
No full textEsensi Pengertian dari Psikologi Feldman merupakan alat diagnostik adaptif yang menyediakan GPS untuk pembelajaran hingga organisasi modular yang ramah bagi pembaca, Feldman memastikan bahwa setiap siswa memperoleh pemahaman yang lebih baik tentang psikologi. Alat diagnostik adaptif inovatif yang baru menghasilkan rencana studi yang dipersonalisasi untuk membantu siswa “tahu apa yang mereka ketahui” sambil membimbing mereka untuk memahami dan mempelajari apa yang tidak mereka ketahui melalui interaksi, latihan, dan bacaan yang menarik. Komunikasi adalah satu-satunya sistem pembelajaran terintegrasi yang memberdayakan siswa dengan terus beradaptasi untuk memberikan secara tepat apa yang mereka butuhkan, ketika mereka membutuhkannya, dan bagaimana mereka membutuhkannya, sehingga waktu kelas Anda lebih menarik dan efektif. Edisi Kesembilan yang direvisi secara menyeluruh berlanjut dengan pedagogi yang dapat diakses Bob Feldman, penelitian utama, dan fokus pada keanekaragaman dalam format modul dalam bab yang fleksibel
Visual precis generation using coresets
No full textGiven an image stream, our on-line algorithm will select the semantically-important images that summarize the visual experience of a mobile robot. Our approach consists of data pre-clustering using coresets followed by a graph based incremental clustering procedure using a topic based image representation. A coreset for an image stream is a set of representative images that semantically compresses the data corpus, in the sense that every frame has a similar representative image in the coreset. We prove that our algorithm efficiently computes the smallest possible coreset under natural well-defined similarity metric and up to provably small approximation factor. The output visual summary is computed via a hierarchical tree of coresets for different parts of the image stream. This allows multi-resolution summarization (or a video summary of specified duration) in the batch setting and a memory-efficient incremental summary for the streaming case.Singapore-MIT Alliance for Research and Technology Center (Future Urban Mobility Project)Foxconn International Holdings Ltd.Singapore. National Research FoundationUnited States. Office of Naval Research. Multidisciplinary University Research Initiative (Grant N00014-09-1-1051)United States. Office of Naval Research. Multidisciplinary University Research Initiative (Grant N00014-09-1-1031)National Science Foundation (U.S.) (Award IIS-1117178
Toward a Taxonomy and Computational Models of Abnormalities in Images
No full textThe human visual system can spot an abnormal image, and reason about what makes it strange. This task has not received enough attention in computer vision. In this paper we study various types of atypicalities in images in a more comprehensive way than has been done before. We propose a new dataset of abnormal images showing a wide range of atypicalities. We design human subject experiments to discover a coarse taxonomy of the reasons for abnormality. Our experiments reveal three major categories of abnormality: object-centric, scene-centric, and contextual. Based on this taxonomy, we propose a comprehensive computational model that can predict all different types of abnormality in images and outperform prior arts in abnormality recognition.Peer reviewe
Streaming Coreset Constructions for M-Estimators
No full textWe introduce a new method of maintaining a (k,epsilon)-coreset for clustering M-estimators over insertion-only streams. Let (P,w) be a weighted set (where w : P - > [0,infty) is the weight function) of points in a rho-metric space (meaning a set X equipped with a positive-semidefinite symmetric function D such that D(x,z) <=rho(D(x,y) + D(y,z)) for all x,y,z in X). For any set of points C, we define COST(P,w,C) = sum_{p in P} w(p) min_{c in C} D(p,c). A (k,epsilon)-coreset for (P,w) is a weighted set (Q,v) such that for every set C of k points, (1-epsilon)COST(P,w,C) <= COST(Q,v,C) <= (1+epsilon)COST(P,w,C). Essentially, the coreset (Q,v) can be used in place of (P,w) for all operations concerning the COST function. Coresets, as a method of data reduction, are used to solve fundamental problems in machine learning of streaming and distributed data.
M-estimators are functions D(x,y) that can be written as psi(d(x,y)) where ({X}, d) is a true metric (i.e. 1-metric) space. Special cases of M-estimators include the well-known k-median (psi(x) =x) and k-means (psi(x) = x^2) functions. Our technique takes an existing offline construction for an M-estimator coreset and converts it into the streaming setting, where n data points arrive sequentially. To our knowledge, this is the first streaming construction for any M-estimator that does not rely on the merge-and-reduce tree. For example, our coreset for streaming metric k-means uses O(epsilon^{-2} k log k log n) points of storage. The previous state-of-the-art required storing at least O(epsilon^{-2} k log k log^{4} n) points
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