Search results for "Matrix"

showing 10 items of 3205 documents

"Table 13" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS det…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval < 0.8.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
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"Table 14" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS det…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval 0.8 TO 1.5.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
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"Table 10" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS det…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval 0.8 TO 1.5.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
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"Table 15" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS det…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval 1.5 TO 2.1.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
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"Table 12" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS det…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval < 2.1.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
researchProduct

"Table 9" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS dete…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval < 0.8.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
researchProduct

"Table 11" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS det…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Q0 for the absolute rapditiy interval 1.5 TO 2.1.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
researchProduct

"Table 16" of "Measurement of ttbar production with a veto on additional central jet activity in pp collisions at sqrt(s) = 7 TeV using the ATLAS det…

2012

The correlation matrix (statistical) for the gap fraction measurement at different values of Qsum for the absolute rapditiy interval < 2.1.

InclusiveDijet ProductionProton-Proton ScatteringCORR-MATRIXP P --> JET JET X7000.0Jet ProductionP P --> TQ TQBAR X
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Fast equivariant JADE

2013

Independent component analysis (ICA) is a widely used signal processing tool having applications in various fields of science. In this paper we focus on affine equivariant ICA methods. Two such well-established estimation methods, FOBI and JADE, diagonalize certain fourth order cumulant matrices to extract the independent components. FOBI uses one cumulant matrix only, and is therefore computationally very fast. However, it is not able to separate identically distributed components which is a major drawback. JADE overcomes this restriction. Unfortunately, JADE uses a huge number of cumulant matrices and is computationally very heavy in high-dimensional cases. In this paper, we hybridize the…

Independent and identically distributed random variablesCombinatoricsta113Matrix (mathematics)Signal processingta112Equivariant mapAffine transformationFocus (optics)AlgorithmIndependent component analysisJADE (particle detector)Mathematics
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Computing Real-Time Dynamic Origin/Destination Matrices from Vehicle-to-Infrastructure Messages Using a Multi-Agent System

2012

Dynamic Origin/Destination matrices are one of the most important parameters for efficient and effective transportation system management. These matrices describe the vehicle flow between different points within a region of interest for a given period of time. Usually, dynamic O/D matrices are estimated from traffic counts provided by induction loop detectors, home interview and/or license plate surveys. Unfortunately, estimation methods take O/D flows as time invariant for a certain number of intervals of time, which cannot be suitable for some traffic applications. However, the advent of information and communication technologies (e.g., vehicle-to-infrastructure dedicated short range comm…

Induction loopComputer scienceDistributed computingMulti-agent systemReal-time computingJADE (programming language)computer.software_genreDedicated short-range communicationsDomain (software engineering)LTI system theoryMatrix (mathematics)Systems managementcomputercomputer.programming_language
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