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decomposition model

Introducing oriented Laplacian diffusion into a variational decomposition model

Introducing oriented Laplacian diffusion into a variational decomposition model

... The decomposition model proposed by Osher, Solé and Vese in 2003 (the OSV model) is known for its good denoising ...the model. However, the OSV model tends to also move high-frequency ...

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Sea clutter constituent synthesis approach based on a new decomposition model

Sea clutter constituent synthesis approach based on a new decomposition model

... one decomposition model, two predictors, and one synthesis ...The decomposition model is used to decompose c n ½ into s[n] and ...synthesis model is used to recon- struct the predicted ...

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Title: A Tree Based Decomposition Model for Eye Blink Detection

Title: A Tree Based Decomposition Model for Eye Blink Detection

... tree decomposition model for eye blink detection is ...layered model for identification of human object over the video and identifying the moment based analysis over the video ...the ...

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A Lagrangian Decomposition Model for Unit Commitment Problem

A Lagrangian Decomposition Model for Unit Commitment Problem

... the model is designed for Unit Commitment problem which is formulated as Non Linear Programming Problem and then decomposed by Lagrangian Relaxation ...Lagrangian Decomposition model gives minimum ...

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A hybrid Box-Jenkins and decomposition model for drought forecasting in Kuala Terengganu

A hybrid Box-Jenkins and decomposition model for drought forecasting in Kuala Terengganu

... Time series models have also been widely applied in scientific, economic and engineering field. Time series models have several advantages over other models as time series models have the systematic search capability for ...

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Fast ensemble empirical mode decomposition model for forecasting crude oil and condensates

Fast ensemble empirical mode decomposition model for forecasting crude oil and condensates

... the decomposition and ensemble method, most previous literature implemented the hybridization of decomposition and ensemble methods for forecasting oil prices ...Mode Decomposition (EEMD) and ...

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Metabolic tradeoffs and heterogeneity in microbial responses to temperature determine the fate of litter carbon in simulations of a warmer world

Metabolic tradeoffs and heterogeneity in microbial responses to temperature determine the fate of litter carbon in simulations of a warmer world

... composition model DEMENT (Decomposition Model of En- zymatic Traits; Allison, 2012) to evaluate four hypotheses: (1) allowing the temperature response of CUE to differ (be heterogeneous) between taxa ...

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Spatial Modeling for Capturing the Effects of Point Sources

Spatial Modeling for Capturing the Effects of Point Sources

... composition model suggested by Hughes-Oliver and Gonzalez-Farias ...process decomposition model. This model provides a parametric method for decomposing the observed process into a trend ...

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MoL 2010 04: 
  The Interrogative Model of Inquiry meets Dynamic Epistemic Logics

MoL 2010 04: The Interrogative Model of Inquiry meets Dynamic Epistemic Logics

... Dynamics of inquiry plans. In the notion of dynamic decomposition of questions, we have integrated a certain dynamics of information. More precisely, we have taken into account the possible incoming of ...

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Parameter Estimation in Groundwater Models Using Proper Orthogonal Decomposition.

Parameter Estimation in Groundwater Models Using Proper Orthogonal Decomposition.

... We begin our discussion with a brief outline of groundwater physics and equations. Our research extends only to saturated groundwater models and our discussion will be similarly limited. We will discuss the ...

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The sensitivity of carbon turnover in the Community Land Model to modified assumptions about soil processes

The sensitivity of carbon turnover in the Community Land Model to modified assumptions about soil processes

... Land Model (CLM) and compare the output for soil organic C stocks (SOC) to estimates from a global data ...the decomposition rate of native SOC in- creases in response to a supply of fresh organic ...

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Transformation and composition of software design models for Model Driven Development

Transformation and composition of software design models for Model Driven Development

... on Model Driven Development (MDD) approach. Model transformations and compositions are the heart of MDD and allow the development of complex systems and their automated ...where model composition and ...

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Are low producing plants sequestering carbon at a geater rate than high producing plants? : a test within the genus Chionochloa : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Ecology at Massey Univers

Are low producing plants sequestering carbon at a geater rate than high producing plants? : a test within the genus Chionochloa : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Ecology at Massey University, Palmerston North, New Zealand

... litter decomposition suggests that whilst low-producing plants fix C at a slower rate than high- producing plants, they may release C at an even slower rate, due to the production of a recalcitrant ...

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Interest rate transmission mechanism of monetary policy in the selected EMU candidate countries

Interest rate transmission mechanism of monetary policy in the selected EMU candidate countries

... variance decomposition of all five endogenous vari- ables of the model are rather different across all the ...variance decomposition of the core inflation in Hun- gary, Poland and the Czech Republic ...

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Model of Three Phase Transmission Line with the Theory of Modal Decomposition Implied

Model of Three Phase Transmission Line with the Theory of Modal Decomposition Implied

... The model line, in which it is represented by a cascade π-circuit can be used to represent polyphase lines. In this case, the line of n phases coupled due to the mutual impedances to be separated into its n modes ...

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Using Hidden Markov Model for Face Recognition with Singular Value Decomposition

Using Hidden Markov Model for Face Recognition with Singular Value Decomposition

... distinct model for each subject is determined; and an evaluation process where a model of a newly acquired test subject is compared against all existing models in the database and the most closely ...

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ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition

ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition

... the decomposition rate of each pool is in- dependent from the other pools, as decomposition rates are decoupled from microbial ...SOC decomposition rates induced by the addition of fresh, energy-rich ...

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A Low Order Model of SCR in DPF Systems with Proper Orthogonal Decomposition

A Low Order Model of SCR in DPF Systems with Proper Orthogonal Decomposition

... order model for a short period to obtain an ensemble of ...for model application, the HFM simulation speed, the nature of variations expected in the inlet conditions among ...

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Unsupervised Multi Author Document Decomposition Based on Hidden Markov Model

Unsupervised Multi Author Document Decomposition Based on Hidden Markov Model

... Naive-Bayesian model in order to in- crease the precision and the classification ac- curacy, and to be less dependent on the num- ber of authors in comparing with the approach in Akiva and Koppel ...

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Unsupervised Decomposition of a Multi Author Document Based on Naive Bayesian Model

Unsupervised Decomposition of a Multi Author Document Based on Naive Bayesian Model

... In Step 1, we divide the merged document into segments. Each segment has 30 sentences. As a result, we get 77 segments, of which 34 are writ- ten by Ezekiel, 27 are written by Job and 16 are mixed. In Step 2, we ...

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