5,179 research outputs found
Fundamental Limits on Data Acquisition: Trade-offs Between Sample Complexity and Query Difficulty
No full textWe consider query-based data acquisition and the corresponding information recovery problem, where the goal is to recover k binary variables (information bits) from parity measurements of those variables. The queries and the corresponding parity measurements are designed using the encoding rule of Fountain codes. By using Fountain codes, we can design potentially limitless number of queries, and corresponding parity measurements, and guarantee that the original k information bits can be recovered with high probability from any sufficiently large set of measurements of size n. In the query design, the average number of information bits that is associated with one parity measurement is called query difficulty (d̅) and the minimum number of measurements required to recover the k information bits for a fixed d̅ is called sample complexity (n). We analyze the fundamental trade-offs between the query difficulty and the sample complexity, and show that the sample complexity of n = c max{k,(k log k)/d̅} for some constant c > 0 is necessary and sufficient to recover k information bits with high probability as k→∞
Trade-offs between Sample Complexity and Query Difficulty in Crowdsourced Data Acquisition
No full textALFRED-SGBT. Preliminary characterization by the HERO test section
No full textIl presente rapporto documenta la fase di montaggio strumentazione e analisi preliminare mediante codice termoidraulico di sistema (RELAP-5.3) della sezione di prova Heavy liquid mEtal – pRessurized water cOoled tube (HERO). Essa consiste id un bundle in scatola esagonale di 7 tubi a doppia parete a baionetta rappresentativi del generatore di vapore del reattore ALFRED. La sezione di prova verrà montata su CIRCE ed è concepita per essere uno strumento di supporto allo sviluppo del generatore di vapore di ALFRED e alla validazione di codici principalmente di tipo termoidraulica di sistema grazie ad una accurata selezione della strumentazione
The television work of Alfred Hitchcock
No full textThe thesis uses close textual analysis to study and evaluate the television work of Alfred Hitchcock. The corpus consists of the twenty shows personally directed by Hitchcock, including his appearances before and after those shows. In response to most previous writing, which tends to compare the programmes with Hitchcock’s films (often unfairly) the thesis emphasises them as products of television. Programmes are evaluated on the basis of their perceived success as television- if they harness conditions related to television production and integrate them with narrative themes or to create meaning. Hitchcock is considered to be the major creative force in each programme.
Chapter One provides a variety of important contexts including a brief history of US television of the 1950s, key literature on Hitchcock and analyses of contemporaneous programmes not directed by Hitchcock. The textual analysis chapters (2-8) consider aesthetic or thematic programme aspects. Chapter Two studies the various roles played by Hitchcock’s appearances as series host. Chapter Three considers the impact of censorship on programmes frequently dealing with murder, violence and insanity. Chapter Four analyses Hitchcock’s implementation of varieties of voice-over narration, a common device in short dramatic forms. Chapter Five studies Hitchcock’s use of point-of-view shots, particularly in relation to their role in the delivery of the narrative twist. Chapter Six considers the key Hitchcock theme of detachment from the world. Chapter Seven looks at moments from the programmes which demonstrate how aesthetic is influenced by television production conditions.
Hitchcock created a number of television masterpieces. His achievements in television are in many ways comparable in quality and consistency to his theatrical films. Even when considered in the context of other 1950s US anthology dramas, the Hitchcock-directed programmes are superior on many levels. Elements of his film style were highly suited to television production. Many of his greatest achievements embrace and harness television production conditions in their presentation strategies to create an integration of style and meaning
Alfred Schirokauer Collection 1889-1932
No full textThe bulk of the collection consists of Alfred Schirokauer writings in form of manuscripts novels and shorter works, and newspaper serializations. There is also a small amount of correspondence with publishers, as well as a few personal items.See inventoryMrs. Hartman, 1978.Born in Breslau (now Wroclaw, Poland) on July 13, 1880, the author and lawyer Alfred Schirokauer lived in Berlin, immigrated to Austria in 1933, and died in Vienna on October 27, 1934.Finding aid available online3-page inventory.digitize
Letter to Alfred L. Shoemaker, February 10, 1948
No full textA handwritten letter from an unknown author addressed to Alfred L. Shoemaker, dated February 10, 1948. Within, the author discusses the Pennsylvania Dutch word for Ash Wednesday, along with traditions associated with this day.https://digitalcommons.ursinus.edu/shoemaker_documents/1118/thumbnail.jp
Map of British Columbia Reduced from the Original Map by Mr. Alfred Waddington
No full textby Alfred Waddington.Scale ca. [1:5,385,600] (W 132 00'--W 112 00'/N 57 40?--N 48 00'). Relief shown by hachures. Shows wagon roads, trails and explored routes
Hyperspectral image unmixing using a multiresolution sticky HDP
No full textThis paper is concerned with joint Bayesian endmember extraction and linear unmixing of hyperspectral images using a spatial prior on the abundance vectors.We propose a generative model for hyperspectral images in which the abundances are sampled from a Dirichlet distribution (DD) mixture model, whose parameters depend on a latent label process. The label process is then used to enforces a spatial prior which encourages adjacent pixels to have the same label. A Gibbs sampling framework is used to generate samples from the posterior distributions of the abundances and the parameters of the DD mixture model. The spatial prior that is used is a tree-structured sticky hierarchical Dirichlet process (SHDP) and, when used to determine the posterior endmember and abundance distributions, results in a new unmixing algorithm called spatially constrained unmixing (SCU). The directed Markov model facilitates the use of scale-recursive estimation algorithms, and is therefore more computationally efficient as compared to standard Markov random field (MRF) models. Furthermore, the proposed SCU algorithm estimates the number of regions in the image in an unsupervised fashion. The effectiveness of the proposed SCU algorithm is illustrated using synthetic and real data
Unsupervised Bayesian linear unmixing of gene expression microarrays
No full textBackground: This paper introduces a new constrained model and the corresponding algorithm, called unsupervised Bayesian linear unmixing (uBLU), to identify biological signatures from high dimensional assays like gene expression microarrays. The basis for uBLU is a Bayesian model for the data samples which are represented as an additive mixture of random positive gene signatures, called factors, with random positive mixing coefficients, called factor scores, that specify the relative contribution of each signature to a specific sample. The particularity of the proposed method is that uBLU constrains the factor loadings to be non-negative and the factor scores to be probability distributions over the factors. Furthermore, it also provides estimates of the number of factors. A Gibbs sampling strategy is adopted here to generate random samples according to the posterior distribution of the factors, factor scores, and number of factors. These samples are then used to estimate all the unknown parameters. Results: Firstly, the proposed uBLU method is applied to several simulated datasets with known ground truth and compared with previous factor decomposition methods, such as principal component analysis (PCA), non negative matrix factorization (NMF), Bayesian factor regression modeling (BFRM), and the gradient-based algorithm for general matrix factorization (GB-GMF). Secondly, we illustrate the application of uBLU on a real time-evolving gene expression dataset from a recent viral challenge study in which individuals have been inoculated with influenza A/H3N2/Wisconsin. We show that the uBLU method significantly outperforms the other methods on the simulated and real data sets considered here. Conclusions: The results obtained on synthetic and real data illustrate the accuracy of the proposed uBLU method when compared to other factor decomposition methods from the literature (PCA, NMF, BFRM, and GB-GMF). The uBLU method identifies an inflammatory component closely associated with clinical symptom scores collected during the study. Using a constrained model allows recovery of all the inflammatory genes in a single factor
CTheory Live Interview: Taiaiake Alfred
No full textTaiaiake Alfred is a Kanien’kehaka (Mohawk) philosopher, writer and teacher and has emerged as an influential figure in the new generation of Indigenous leaders. Dr. Alfred holds a Canada Research Chair and is a Professor in the Indigenous Governance Programs and the Department of Political Science at the University of Victoria. He is the author of three books,Heeding the Voices of Our Ancestors, Peace, Power, Righteousness, and Wasase: Indigenous Pathways of Action and Freedom.Arthur Kroker, Canada Research Chair in Technology, Culture and TheoryFacultyUnreviewe
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