PUMA publications for /tag/computationhttps://puma.uni-kassel.de/tag/computationPUMA RSS feed for /tag/computation2024-03-29T05:40:54+01:00Fast Low-Rank Modifications of the Thin Singular Value Decompositionhttps://puma.uni-kassel.de/bibtex/2e437dd02ea22c25bf2de83a687f18e11/hothohotho2009-06-12T13:16:20+02:00computation fast svd toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Matthew Brand" itemprop="url" href="/author/Matthew%20Brand"><span itemprop="name">M. Brand</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Linear Algebra and Its Applications</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">415 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">20--30</span></em> </span>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Fri Jun 12 13:16:20 CEST 2009Linear Algebra and Its ApplicationsBrand120--30Fast Low-Rank Modifications of the Thin Singular Value Decomposition4152006computation fast svd toread Fast Computation of Concept Lattices Using Data Mining Techniqueshttps://puma.uni-kassel.de/bibtex/2dcfad94fb256027fbe41150d5ca35d5f/stummestumme2010-04-07T13:54:41+02:002000 algorithm algorithms analysis closed computation concept condensed fca formal iceberg itemsets lattices myown representations <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Stumme" itemprop="url" href="/author/G.%20Stumme"><span itemprop="name">G. Stumme</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. Taouil" itemprop="url" href="/author/R.%20Taouil"><span itemprop="name">R. Taouil</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Y. Bastide" itemprop="url" href="/author/Y.%20Bastide"><span itemprop="name">Y. Bastide</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="N. Pasquier" itemprop="url" href="/author/N.%20Pasquier"><span itemprop="name">N. Pasquier</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="L. Lakhal" itemprop="url" href="/author/L.%20Lakhal"><span itemprop="name">L. Lakhal</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. 7th Intl. Workshop on Knowledge Representation Meets Databases</span>, </em></span>(<em><span>2000<meta content="2000" itemprop="datePublished"/></span></em>)<em>http://ceur-ws.org/Vol-29. Part of stumme02computing.</em>Wed Apr 07 13:54:41 CEST 2010Proc. 7th Intl. Workshop on Knowledge Representation Meets Databases\url{http://ceur-ws.org/Vol-29.} {P}art of \cite{stumme02computing}Fast Computation of Concept Lattices Using Data Mining Techniques20002000 algorithm algorithms analysis closed computation concept condensed fca formal iceberg itemsets lattices myown representations Publications of Gerd StummeMatrix Computationshttps://puma.uni-kassel.de/bibtex/2f1bb0caf439b5f67f1d388f1298601d8/folkefolke2010-05-04T08:55:46+02:00computation matrix <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gene H. Golub" itemprop="url" href="/author/Gene%20H.%20Golub"><span itemprop="name">G. Golub</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Charles F. Van Loan" itemprop="url" href="/author/Charles%20F.%20Van%20Loan"><span itemprop="name">C. Loan</span></a></span>. </span><em><span itemprop="publisher">The Johns Hopkins University Press</span>, </em><em><span itemprop="bookEdition">3rd</span> Edition, </em>(<em><span>1996<meta content="1996" itemprop="datePublished"/></span></em>)Tue May 04 08:55:46 CEST 20103rdMatrix Computations1996computation matrix A Survey of Human Computation Systemshttps://puma.uni-kassel.de/bibtex/28670a20dbf6aa9dd21da81ab78a1e333/jaeschkejaeschke2012-06-19T15:51:42+02:00cirg collective computation human intelligence social survey toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Man-Ching Yuen" itemprop="url" href="/author/Man-Ching%20Yuen"><span itemprop="name">M. Yuen</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ling-Jyh Chen" itemprop="url" href="/author/Ling-Jyh%20Chen"><span itemprop="name">L. Chen</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="I. King" itemprop="url" href="/author/I.%20King"><span itemprop="name">I. King</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the International Conference on Computational Science and Engineering, CSE '09</span>, </em></span><em> 4, </em><em>Seite <span itemprop="pagination">723--728</span>. </em>(<em><span>August 2009<meta content="August 2009" itemprop="datePublished"/></span></em>)Tue Jun 19 15:51:42 CEST 2012Proceedings of the International Conference on Computational Science and Engineering, CSE '09aug723--728A Survey of Human Computation Systems42009cirg collective computation human intelligence social survey toread Human computation is a technique that makes use of human abilities for computation to solve problems. The human computation problems are the problems those computers are not good at solving but are trivial for humans. In this paper, we give a survey of various human computation systems which are categorized into initiatory human computation, distributed human computation and social game-based human computation with volunteers, paid engineers and online players. For the existing large number of social games, some previous works defined various types of social games, but the recent developed social games cannot be categorized based on the previous works. In this paper, we define the categories and the characteristics of social games which are suitable for all existing ones. Besides, we present a survey on the performance aspects of human computation system. This paper gives a better understanding on human computation system.CrowdDB: answering queries with crowdsourcinghttps://puma.uni-kassel.de/bibtex/29525ebea13b41f27a49bafcf2f1132c6/jaeschkejaeschke2012-06-19T16:21:35+02:00cirg collective computation crowddb crowdsourcing database human intelligence social <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael J. Franklin" itemprop="url" href="/author/Michael%20J.%20Franklin"><span itemprop="name">M. Franklin</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Donald Kossmann" itemprop="url" href="/author/Donald%20Kossmann"><span itemprop="name">D. Kossmann</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tim Kraska" itemprop="url" href="/author/Tim%20Kraska"><span itemprop="name">T. Kraska</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sukriti Ramesh" itemprop="url" href="/author/Sukriti%20Ramesh"><span itemprop="name">S. Ramesh</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Reynold Xin" itemprop="url" href="/author/Reynold%20Xin"><span itemprop="name">R. Xin</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 2011 international conference on Management of data</span>, </em></span><em>Seite <span itemprop="pagination">61--72</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Tue Jun 19 16:21:35 CEST 2012New York, NY, USAProceedings of the 2011 international conference on Management of data61--72CrowdDB: answering queries with crowdsourcing2011cirg collective computation crowddb crowdsourcing database human intelligence social Some queries cannot be answered by machines only. Processing such queries requires human input for providing information that is missing from the database, for performing computationally difficult functions, and for matching, ranking, or aggregating results based on fuzzy criteria. CrowdDB uses human input via crowdsourcing to process queries that neither database systems nor search engines can adequately answer. It uses SQL both as a language for posing complex queries and as a way to model data. While CrowdDB leverages many aspects of traditional database systems, there are also important differences. Conceptually, a major change is that the traditional closed-world assumption for query processing does not hold for human input. From an implementation perspective, human-oriented query operators are needed to solicit, integrate and cleanse crowdsourced data. Furthermore, performance and cost depend on a number of new factors including worker affinity, training, fatigue, motivation and location. We describe the design of CrowdDB, report on an initial set of experiments using Amazon Mechanical Turk, and outline important avenues for future work in the development of crowdsourced query processing systems.