Parameter extraction from data
Robust Parameter Extraction for Decision Support Using Multimodal Intensive Care Data
... acceptable for our application. Nevertheless, we would prefer to have an automated annotation tool that finds almost all the needed concepts but few spurious ones. If we could build a program that ‘understands’ natural ...
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Parameter extraction strategy for the UCB BSIM4 model
... ■ The special emphasis of this method is, to account for scalable (channel length / width) physical effects with advanced data representation and parameter extraction methods. ■ Such a dedicated ...
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A window-based method for automatic typographic parameter extraction
... 1 Introduction Most commercial font systems use outline fonts for the digital presentation of type- faces. Outline fonts are well suited for character rasterization and printing. They how- ever only incorporate implicit ...
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Efficient Parameter Extraction of Solar Cell using Modified ABC
... I-V data. It is ev- ident from the results that modifications implemented in traditional ABC algorithm certainly brings about more accuracy and conver- gence rate to parameter ...
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Parameter Extraction and Uncertainty in Terahertz Time-Domain Spectroscopic Measurements
... direct extraction of the thickness of the sample, it relies on precise knowledge of the sample alignment which is often not ...of extraction are generally more accurate [70] provided that the model ...
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Multi-parameter extraction from SOI photonic integrated circuits using circuit simulation and evolutionary algorithms
... starting from the required functional parameters and proceeding with design and ...efficient extraction of the model parameters are quintessential to close the design flow ...parameters from a single ...
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Algorithms for sea surface wind parameter extraction from x-band shipborne nautical radar images
... masked from the radar’s field of view ...for data stor- age and analysis [5] (see ...radar data provided by WaMoS and focuses on real-time sea surface real-time wind ...
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Parameter optimisation for location extraction and prediction applications
... Figure 2 shows the overall trends present with respect to the mean absolute error metric. Specifically, Figure 2a shows the relationship between cost and average location area (in km 2 ), and Figure 2b shows the ...
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Parameter optimisation for location extraction and prediction applications
... Figure 2 shows the overall trends present with respect to the mean absolute error metric. Specifically, Figure 2a shows the relationship between cost and average location area (in km 2 ), and Figure 2b shows the ...
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Corneal parameter changes after cataract extraction
... photographic data of the corneal ring images and calculating the radius of curvature of a given sector of the cornea from the target ring separation in the image reflected from that ...
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Data Fusion for Urban Feature Extraction from LiDAR and Hyperspectral Data
... One of the most popular classification methods are SVMs defined by Vapnik (1998), a large margin-based classifier with a good generalization capacity in the small- size training set problem with high-dimensional input ...
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Information Extraction from unstructured data
... Free text vs structured data: MMSE coverage. Cases Instanses[r] ...
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Extraction of Diffusion Constants from Data
... characteristics from the ...diffusion from a number of simple one-, two-, and three-dimensional shapes can be derived from well-known analytical solutions (most of which have been available in the ...
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Data Extraction from Product Descriptions
... Obrázek č. 5 - Fragment HTML kódu a jeho DOM reprezentace 2.3.1 DOM v PHP DOM API implementuje i jazyk PHP a od verze 5.0 není k používání tohoto rozhraní potřeba žádné rozšíření, protože je přímo součástí jazyka. Funkce ...
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Semantic location extraction from crowdsourced data
... use, data currency and abundancy are some of the key reasons for attracting this high ...such data in important applications like disaster ...Map data were semantically analysed to extract the ...
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Semantic location extraction from crowdsourced data
... After four years of hard work, Lena Halounova and her team have prepared an exciting programme reflecting both the scientific work of ISPRS and other activities in the field of geospatial information relevant to ISPRS. ...
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Robust Extraction of Metaphor from Novel Data
... training data or a knowledge base of predefined ...metaphors from re- ceiving an input, to selecting candidate relations, to the discovery of prototypical source domains, and leading to the identification ...
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Efficient Data Extraction From Multiple Datasources
... • Global Delivery Model for USA, Europe and Latin America. • Global Knowledge Database[r] ...
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Entity Extraction from Unstructured Data on the Web
... entities from textual lists scattered over the internet is not a trivial ...entity extraction from textual lists is formulated as a problem of text segmen- tation to extract data values in ...
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Solutions for improving data extraction from virtual data warehouses
... load data into the data ...virtual data warehouse in a national company where an ERP was recently setup and a set of BI reports must be developed ...collects data from the ERP system, a ...
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