Barberena Najarro, Martha Argentina. Reschke, Dietrich
(has links) (PDF)
Techn. Univ., Diss.--Ilmenau, 2003. / Parallel als Online-Ausg. erschienen unter der Adresse http://www.db-thueringen.de/servlets/DocumentServlet?id=1601. Literaturverz. S. 181 - 188.
Schäuble, Peter. Schäuble, Peter Schäuble, Peter Schäuble, Peter
Diss. no. 8784 techn. sc. SFIT Zurich. / siehe auch: Information retrieval based on information structures. Literaturverz. S. 127-135.
Roochvarg, Alan Charles,
Thesis (Ph. D.)--University of Wisconsin--Madison, 1971. / Vita. Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.
Najarro, Martha Argentina Barberena.
(has links) (PDF)
Ilmenau, Techn. Universiẗat, Diss., 2003.
(has links) (PDF)
Magdeburg, University, Diss., 2004.
The Role of Discrimination and Retention Interval on Retrieval Blocking in an Eyewitness Memory ParadigmWolf, Heather Michelle 03 May 2008 (has links)
If a person witnesses an event, but later receives information that contradicts what they witnessed, their memory can be impaired. An experiment was conducted to determine whether memory impairment due to misleading post-event information can be eliminated or reduced by making it easier to discriminate between the witnessed event and the post event. In addition, the study determines whether a long versus a short delay between the introduction of post-event misinformation and the test of event memory will reduce the effect of misleading post-event information. Finally, the impact of both discrimination and delay on one particular theoretical mechanism proposed to explain memory impairment, retrieval blocking, was examined. Results indicated that, at test, retrieval blocking was alleviated both when participants could discriminate between the event and post event, and after a 48-hour delay. Two competing hypotheses are reviewed and discussed as to theoretical explanations for the misinformation effect and retrieval blocking.
Diss. Nr. 8446 techn. Wiss. ETH Zürich. / Literaturverz. S. 133-140.
The objective of this thesis is to implement a web application designed for recommendation of stock photos. The application gets the input from newspaper articles in Czech or English and, based on the text itself, suggests appropriate stock photos. The implemented application also searches images according to visual similarity. The thesis deals with theoretical aspects of keywords extraction and language of text detection. Further it analyzes possibilities of efficient search for similar vectors that are used in the search component for visually similar images. It also describes the possibilities in development of modern web frontend and backend. The quality of algorithm for recommending stock photos is tested on users. Powered by TCPDF (www.tcpdf.org)
A commonsense aboutness theory for information retrieval modeling. / CUHK electronic theses & dissertations collectionJanuary 2000 (has links)
Song Dawei. / "August 2000." / Thesis (Ph.D.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (p. 159-162). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong,  System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web. / Abstracts in English and Chinese.
Hu, You-Heng, Surveying & Spatial Information Systems, Faculty of Engineering, UNSW
Geographic Information Retrieval (GIR) systems provide users with functionalities of representation, storage, organisation of and access to various types of electronic information resources based on their textual and geographic context. This thesis explores various aspects of the development, evaluation and application of GIR systems. The first study focuses upon the extraction and grounding of geographic information entities. My approach for this study consists of a hierarchical structure-based geographic relationship model that is used to describe connections between geographic information entities, and a supervised machine learning algorithm that is used to resolve ambiguities. The proposed approach has been evaluated on a toponym disambiguation task using a large collection of news articles. The second study details the development and validation of a GIR ranking mechanism. The proposed approach takes advantage of the power of the Genetic Programming (GP) paradigm with the aim of finding an optimal functional form that integrates both textual and geographic similarities between retrieved documents and a given user query. My approach has been validated by applying it to a large collection of geographic metadata documents. The third study addresses the problem of modelling the GIR retrieval process that takes into account both thematic and geographic criteria. Based on the Spreading Activation Network (SAN), the proposed model consists a two-layer associative network that is used to construct a structured search space; a constrained spreading activation algorithm that is used to retrieve and to rank relevant documents; and a geographic knowledge base that is used to provide necessary domain knowledge for network. The retrieval performance of my model has been evaluated using the GeoCLEF 2006 tasks. The fourth study discusses the publishing, browsing and navigation of geographic information on the World Wide Web. Key challenges in designing and implementing of a GIR user interface through which online content can be systematically organised based on their geospatial characteristics, and can be efficiently accessed and interrelated, are addressed. The effectiveness and the usefulness of the system are shown by applying it to a large collection of geo-tagged web pages.
Page generated in 0.0553 seconds