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Trio: a system for integrated management of data, accuracy, and lineage
 PRESENTED AT CIDR 2005
, 2005
"... Trio is a new database system that manages not only data, butalsotheaccuracy and lineage of the data. Inexact (uncertain, probabilistic, fuzzy, approximate, incomplete, and imprecise!) databases have been proposed in the past, and the lineage problem also has been studied. The goals of the Trio proj ..."
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Cited by 269 (17 self)
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Trio is a new database system that manages not only data, butalsotheaccuracy and lineage of the data. Inexact (uncertain, probabilistic, fuzzy, approximate, incomplete, and imprecise!) databases have been proposed in the past, and the lineage problem also has been studied. The goals of the Trio project are to combine and distill previous work into a simple and usable model, design a query language as an understandable extension to SQL, and most importantly build a working system—a system that augments conventional data management with both accuracy and lineage as an integral part of the data. This paper provides numerous motivating applications for Trio and lays out preliminary plans for the data model, query language, and prototype system.
Simplifying Complex Environments using Incremental Textured Depth Meshes
 ACM TRANS. GRAPH
, 2003
"... We present an incremental algorithm to compute imagebased simplifications of a large environment. We use an optimizationbased approach to generate samples based on scene visibility, and from each viewpoint create textured depth meshes (TDMs) using sampled range panoramas of the environment. The op ..."
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Cited by 20 (0 self)
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. The optimization function minimizes artifacts such as skins and cracks in the reconstruction. We also present an encoding scheme for multiple TDMs that exploits spatial coherence among different viewpoints. The resulting simplifications, incremental textured depth meshes (ITDMs), reduce preprocessing, storage
Creating Declarative Process Models Using Test Driven Modeling Suite
"... Abstract. Declarative approaches to process modeling promise a high degree of flexibility. However, current declarative stateoftheart modeling notations are, while sound on a technical level, hard to understand. To cater for this problem, in particular to improve the understandability of declarat ..."
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Cited by 13 (9 self)
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of declarative process models as well as the communication between domain experts and model builders, Test Driven Modeling (TDM) has been proposed. In this tool paper we introduce Test Driven Modeling Suite (TDMS) which provides operational support for TDM. We show how TDMS realizes the concepts of TDM and how
TMG: A MATLAB Toolbox for Generating TermDocument Matrices from Text Collections
, 2005
"... A wide range of computational kernels in data mining and information retrieval from text collections involve techniques from linear algebra. These kernels typically operate on data that is presented in the form of large sparse termdocument matrices (tdm). We present TMG, a research and teaching too ..."
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Cited by 40 (2 self)
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toolbox for the generation of sparse tdm’s from text collections and for the incremental modification of these tdm’s by means of additions or deletions. The toolbox is written entirely in MATLAB, a popular problem solving environment that is powerful in computational linear algebra, in order to streamline
InformationTheoretic Analysis of MIMO Channel Sounding
, 2007
"... The large majority of commercially available multipleinput multipleoutput (MIMO) radio channel measurement devices (sounders) is based on timedivision multiplexed switching (TDMS) of a single transmit/receive radio frequency chain into the elements of a transmit/receive antenna array. While being ..."
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Cited by 7 (0 self)
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The large majority of commercially available multipleinput multipleoutput (MIMO) radio channel measurement devices (sounders) is based on timedivision multiplexed switching (TDMS) of a single transmit/receive radio frequency chain into the elements of a transmit/receive antenna array. While
MMR: An interactive massive model rendering system using geometric and imagebased acceleration
 1999 ACM Symposium on Interactive 3D Graphics
, 1999
"... We present a system for rendering very complex 3D models at interactive rates. We select a subset of the model as preferred viewpoints and partition the space into virtual cells. Each cell contains near geometry, rendered using levels of detail and visibility culling, and far geometry, rendered as a ..."
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Cited by 71 (5 self)
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We present a system for rendering very complex 3D models at interactive rates. We select a subset of the model as preferred viewpoints and partition the space into virtual cells. Each cell contains near geometry, rendered using levels of detail and visibility culling, and far geometry, rendered as a textured depth mesh. Our system automatically balances the screenspace errors resulting from geometric simplification with those from textureddepthmesh distortion. We describe our prefetching and data management schemes, both crucial for models significantly larger than available system memory. We have successfully used our system to accelerate walkthroughs of a 13 million triangle model of a large coalfired power plant and of a 1.7 million triangle architectural model. We demonstrate the walkthrough of a 1.3 GB power plant model with a 140 MB cache footprint.
TimeDivision Multiplexing Realizations of MultipleOutput Functions Based on Shared MultiTerminal MultipleValued Decision Diagrams
, 1999
"... this paper, we consXDB52 timedivisfiD multiplexing (T M) realizations of multipleoutputfunctions basc onsD#3U binary decisDX diagrams (SB sB sBD: multiplevalued decisXfi diagrams (SM sM andsdD4X multiterminal multiplevalueddecis:: diagrams (SMTMsT In the network, each nonterminal node of adeci ..."
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this paper, we consXDB52 timedivisfiD multiplexing (T M) realizations of multipleoutputfunctions basc onsD#3U binary decisDX diagrams (SB sB sBD: multiplevalued decisXfi diagrams (SM sM andsdD4X multiterminal multiplevalueddecis:: diagrams (SMTMsT In the network, each nonterminal node
Product of Two Multiple Stochastic Integrals With Respect to a Normal Martingale
, 1998
"... : Let M be a normal martingale (i.e. ! M;M ? (t) = t), we decompose the product of two multiple stochastic integrals (with respect to M) I n (f)I m (g) as a sum of nm terms H k . H k is equal to the integral over R k + of the function t ! I n+m\Gamma2k (h k (t; :)), with respect to the ktensor ..."
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Cited by 5 (0 self)
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: Let M be a normal martingale (i.e. ! M;M ? (t) = t), we decompose the product of two multiple stochastic integrals (with respect to M) I n (f)I m (g) as a sum of nm terms H k . H k is equal to the integral over R k + of the function t ! I n+m\Gamma2k (h k (t; :)), with respect to the k
EFFECTS OF PROMPTING STUDENTS TO USE MULTIPLE SOLUTION METHODS
"... th Conference of the International Group for the Psychology of Mathematics Education and the 36 th Conference of the North American Chapter of the Psychology of ..."
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th Conference of the International Group for the Psychology of Mathematics Education and the 36 th Conference of the North American Chapter of the Psychology of
Results 1  10
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