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Topic: Parametric model

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	Non-parametric Model for Background Subtraction
		On the other hand, if the model adapts too quickly, this will lead to two problems: the model may adapt to the targets themselves, as their speed cannot be neglected with respect to the background variations, and it leads to inaccurate estimation of the model parameters.
		This model is expected to have two kinds of false positives: false positives due to rare events that are not represented in the model, and persistent false positives that might result from incorrect detection/update decisions due to changes in the scene background.
		For the non-parametric model, a sample of size 100 was used to represent the background; the update is performed using the detection results directly as the update decision, as described in section 2.
	www.vast.uccs.edu /~tboult/FRAME/Elgammal/bgmodel.html (5037 words)

	JAM Design, Inc.
		The part is then extruded to a certain height, and by setting the length of the extrusion equal to the side of the square a cube will be generated having properties like mass, volume, center of gravity…….
		Or the length of the extrusion could be maintained at 2 times the side and a model to generate a block that would be basically two equal cube stacked.
		The results of a parametric or Boolean solid model will yield two dimensional drawings also but are automatically updated when the solid is changed and can generate isometric views.
	www.jamcaddesigns.com (455 words)

	AACE International - Technical - Cost Models- Parametric Cost Model for Buildings (Site not responding. Last check: 2007-10-20)
		The models are very useful for cost and value evaluations early in the project life cycle when not much is known about the project scope.
		The model is generally applicable to the typical kinds of buildings found in an industrial or commercial setting in the United States (up to 7 stories, steel or concrete structure).
		This cost model is made available as an illustrative, educational example of the types of tools and technology used in the practice of cost engineering and parametric estimating.
	www.aacei.org /technical/costmodels/BuildingModel.shtml (1422 words)

	THREE-PARAMETRIC MODEL FOR ASSESSMENT OF THE 1-DAY STRENGTH OF A SILICATE COMPOSITE
		Polynomial models describing the mechanical properties of composite mortars, including a new combined admixture in their formulation, have been developed on the basis of three-factor planned experiment.
		The mathematical model of the investigated output in MPa for the age of 24 hours is developed on the basis of the experimental data, Table 2 and the methodology in [3]:
		It is seen from the considered two quasi one-factor models that for other equal conditions the dependence of the 1-day compressive strength preserves a hyperbolic character with the increase of the water/cement ratio and the variation of the component A, and that a certain amount of the A and P components minimizes the target function.
	www.ejournalnet.com /Contents/Issue_1/9/9_2001.htm (1971 words)

	APHEX Systems 9901A Parametric Equalizer Module
		The 9901A is a three overlapping band Parametric Equalizer module which installs in one space of the Aphex Model 9000 rack or compatible dbx 900 series rack.
		The 9901A represents the next generation in audiophile tone shaping.
		Similar in design to our legendary EQF-2, the 9901 retains the musical qualities of our f ine EQ whhile providing greater flexibility, with three overlapping bands of fully parametric equalization, each with ±15dB boost or cut.
	www.aphex.com /9901A.htm (221 words)

	Parametric model of solar cooker performance (Site not responding. Last check: 2007-10-20)
		Abstract-This paper presents a model for prediction of the cooking power of a solar cooker based on three controlled parameters (solar intercept area, overall heat loss coefficient, and absorber plate thermal conductivity) and three uncontrolled variables (insolation, temperature difference, and load distribution).
		The model was validated for commercially available solar cookers of both the box and concentrating types.
		The model can be used to estimate the cooking capacity of existing box type and concentrating type solar cookers.
	wire0.ises.org /wire/Publications/SEJIndex.nsf/556fe1b2f82606ddc1256ac6005a9bf0/225185378ae13e21c1256ae600592f07!OpenDocument (156 words)

	Patent 5796983: Dielectric function parametric model, and method of use (Site not responding. Last check: 2007-10-20)
		Novel dielectric function parametric model oscillator structures comprised of finite order polynomials and/or essentially zero-width finite magnitude discontinuities in appropriate sequences, which novel oscillator structures are suitable for application in a Kronig-Kramer consistent dielectric function oscillator structure based mathematical model, are disclosed.
		A parameter model as in claim 23, in which mathematical model coefficient(s) are evaluated on the basis of a square-error reducing criteria.
		The problem with prior modeling approaches which utilize the summation of the effects of a plurality of Oscillator Structures to provide approximate values for (e1) and/or (e2) as a function of photon energy, is that they do not provide accurate values of (e1) and/or (e2) at all values of photon energy.
	www.freepatentsonline.com /5796983.html (10395 words)

	CCG - Information - Developing a Parametric Model
		A parametric cost model is an extremely useful tool for preparing early conceptual estimates, when there is little technical data or engineering deliverables to provide a basis for using more detailed estimating methods.
		The article reviews the types of data collected to support the model, the analysis of the data, the creation of a spreadsheet model based on the analysis, and the various forms of output and presentation data available from the model.
		What is learned from this particular parametric model can be applied to other circumstances and used to create other parametric models applicable to other situations.
	www.ccg-estimating.com /information-whitepapers-5.htm (201 words)

	Toward Improved Identifiability of Soil Hydraulic Parameters: On the Selection of a Suitable Parametric Model -- Vrugt ...
		in the Brooks and Corey, Mualem–van Genuchten, and Kosugi parametric models for the clayey soil.
		(A–B) Outflow prediction uncertainty ranges of the HYDRUS-1D model associated with the uncertainty in the model (blue) and parameter estimates for Scenarios I (purple) and II (red) of the Mualem–van Genuchten and Kosugi parametric models for the multistep (0–125–250–375–500 mbar) outflow experiment (B–D).
		The blue region denotes model uncertainty, whereas the residual parameter uncertainty is indicated with the purple (Scenario I) and red regions (Scenario II).
	vzj.scijournals.org /cgi/content/figsonly/2/1/98 (564 words)

	Parametric Model for Visual Texture Representation and Synthesis
		There is a long history of research in the study of visual texture, but the definition is rather imprecise.
		A Parametric Texture Model based on Joint Statistics of Complex Wavelet Coefficients.
		Texture Modeling and Synthesis using Joint Statistics of Complex Wavelet Coefficients.
	www.cns.nyu.edu /~eero/texture (916 words)

	Non Parametric Model for Background Subtraction
		The model keeps a sample of intensity values for each pixel in the image and uses this sample to estimate the probability density function of the pixel intensity.
		The model can handle situations where the background of the scene is cluttered and not completely static but contains small motions that are due to moving tree branches and bushes.
		The model is updated continuously and therefore adapts to changes in the scene background.
	www.cs.rutgers.edu /~elgammal/Research/BGS/research_bgs.htm (380 words)

	vts,13th IEEE VLSI Test Symposium (VTS'95) (Site not responding. Last check: 2007-10-20)
		Second, it is demonstrated that the classical models such as the voting model which consider the resistance as negligible, do not accurately and realistically represent the behavior of the fault.
		Third, a new parametric bridging fault model is proposed allowing to realistically represent the faulty behavior according to the intrinsic resistance which is not known a priori.
		Finally, a parametric bridging fault simulation algorithm is described together with some redefinition of the classical concepts of fault detection and fault coverage.
	csdl.computer.org /comp/proceedings/vts/1995/7000/00/70000184abs.htm (256 words)

	Causal linear parametric model for baroreflex gain assessment in patients with recent myocardial infarction -- Nollo et ...
		Bivariate parametric AR model with exogenous input (ARXAR model) for the description of the causal effects of SAP on R-R. In the open-loop scheme, the sap signal constitutes an exogenous input.
		Indexes provided by parametric models are the average of the gain in the two major bands (LF and HF).
		ARXAR model with respect to the AR and 2AR models.
	ajpheart.physiology.org /cgi/content/full/280/4/H1830 (4894 words)

	A Dispersive Scattering Center, Parametric Model for 1-D ATR - Storming Media
		Abstract: The dispersive scattering center (DSC) model characterizes high- frequency backscatter from radar targets as a finite sum of localized scattering geometries distributed in range, these geometries, along with their relative locations, can be conveniently used as features in a one-dimensional automatic target recognition (ATR) algorithm.
		The DSC model's type and range parameters correspond to geometry and distance features according to the geometric theory of diffraction (GTD).
		In addition, DSC model feature extraction offers an approximate 85% reduction in the number of features compared to the numerous Fourier bin magnitudes in template matching approaches to ATR.
	www.stormingmedia.us /55/5565/A556533.html (236 words)

	Parametric Model Checking (Site not responding. Last check: 2007-10-20)
		We present an extension of the model checker Uppaal, capable of synthesizing linear parameter constraints for the correctness of parametric timed automata.
		A symbolic representation of the (parametric) state space in terms of parametric difference bound matrices is shown to be correct.
		A second contribution of this paper is the identification of a subclass of parametric timed automata (L/U automata), for which the emptiness problem is decidable, contrary to the full class where it is known to be undecidable.
	www.cs.kun.nl /ita/publications/papers/fvaan/PTA.html (139 words)

	IEEE Transactions on Knowledge and Data Engineering,September/October 1998 (Vol. 10, No. 5) (Site not responding. Last check: 2007-10-20)
		This paper presents algebraic identities and algebraic query optimization for a parametric model for temporal databases.
		The algebra for the parametric model is three-sorted; it includes 1) relational expressions that evaluate to relations, 2) domain expressions that evaluate to time domains, and 3) Boolean expressions that evaluate to TRUE or FALSE.
		The identities in the parametric model are classified as weak identities and strong identities.
	doi.ieeecs.org /DOIResolver/resolver/10.1109/69.729733 (823 words)

	Linear Parametric Model Checking of Timed Automata (Site not responding. Last check: 2007-10-20)
		The symbolic representation of the (parametric) state-space is shown to be correct.
		A second contribution of this paper is the identification of a subclass of parametric timed automata (L/U automata), for which the emptiness problem is decidable, contrary to the full class where it is know to be undecidable.
		Also we present a number of lemmas enabling the verification effort to be reduced for L/U automata in some cases.
	www.brics.dk /RS/01/5/index.html (117 words)

	An Intensity Based Non-Parametric Default Model for Residential Mortgage Portfolios (Site not responding. Last check: 2007-10-20)
		borrowers who finance their property by the loan and we model the probability distribution of the number of defaults using a non-parametric intensity based approach.
		We consider the time-to-default and, by conditioning on a set of predictors for the default event, we obtain a log-additive model for the conditional intensity process of the time-to-default, where the contribution of each predictor is described by a smooth function.
		We estimate the model by using a local scoring algorithm coming from the generalized additive model.
	www.math.ethz.ch /%7Edegiorgi/report/intensitybasedmortgages.html (418 words)

	Effects of wind-forcing on the dynamic spectrum in wave development: A statistical approach using a parametric model
		In the present paper, we investigate the statistical structure of the sea surface movement and the wind motion in developing wind waves and propose a spectral model to estimate the time-varying spectral density function.
		The validity of the proposed model is demonstrated through numerical experiments to evaluate the forecasting accuracy.
		The proposed model is used to examine the degree of the influence by wind motion, which affects the spectral density function.
	www.agu.org /pubs/crossref/2003/2001JC000915.shtml (320 words)

	Parametric model studies
		In these studies, the various tracking layers were defined by their radii and intrinsic spatial resolution, multiple scattering was added at discrete radii, and the track parameter resolutions for a given momentum and angle were derived by a matrix inversion technique.
		The modular pieces for the parametric model were chosen among the specifications shown in Table
		we show the five track parameters generated by the parametric studies for the CLEO II detector, the CLEO II/Si detector in which the PTL is replaced with a 3 layer silicon detector, and the proposed CLEO III detector.
	www.lns.cornell.edu /public/CLEO/CLEO3/cleo3/proposal/subsection3_4_1.html (772 words)

	EconPapers: Bayesian Encompassing Specification Tests of a Parametric Model Against a Non Parametric Alternative (Site not responding. Last check: 2007-10-20)
		Abstract: An encompassing test between two models is based on the idea that the first model is able to explain the inference obtained by the second model.
		In a Bayesian Framework, the posterior distribution of the second model will then be compared to the posterior distribution built in hte first model trough a distribution on the parameter of the second model conditionally on the parameter of the first model.
		Such a strategy is used to test a parametric model against a non parametric one.
	netec.wustl.edu /BibEc/data/Papers/fthgremaq96.436.html (261 words)

	IEEE Transactions on Pattern Analysis and Machine Intelligence,March 1998 (Vol. 20, No. 3) (Site not responding. Last check: 2007-10-20)
		Parametric models play an important role in broad areas of science and technology.
		It comprises of a module for parameter estimation based on a solution for generalized least squares problems and of a procedure for error propagation, which takes both the geometric arrangement of the input data points and their precision into account.
		The results from error propagation are used to complement each model parameter with a precision estimate, to assign an inlier set of data points supporting the fit to each extracted model, and to determine the a priori unknown total number of meaningful models in the data.
	doi.ieeecomputersociety.org /10.1109/34.667884 (1241 words)

	A Functional Non-Parametric Model for Scalar Response with Bootstrap Confidence Intervals: Some Computational Tools and ... (Site not responding. Last check: 2007-10-20)
		The purpose of this work is to describe some applications of non-parametric regression models where the dependent variable is a curve and the response is scalar (Ramsay and Silverman, 1997).
		Such a model may be used both for independent and identically distributed data and for dependent observations.
		These methods may also be used for forecasting of time series where the variable Y is a time series value and X are portions of the same series.
	mrvar.fdv.uni-lj.si /pub/mz/mz17/abst/durio.htm (223 words)

	Functional mapping for quantitative trait loci governing growth rates: a parametric model -- Wu et al. 14 (3): 241 -- ...
		The genomic positions corresponding to the peak of the curve (113 cM from the first marker at the left) are the MLEs of the QTL position.
		nonparametric model of Diggle and Verbyla (10), and assessing
		A general model for the origin of allometric scaling laws in biology.
	physiolgenomics.physiology.org /cgi/content/full/14/3/241 (4215 words)

	The Project Inventory (Site not responding. Last check: 2007-10-20)
		The objective was to develop a model that was able to forecast daily maximum hourly ozone concentrations up to three days ahead for the Belgian territory.
		The model has been operational at the VMM (the Flemish Environmental Agency) since the spring of 1996, has been frequently quoted and cited in the daily ozone reports for Belgium on the internet, and in the media.
		BIOSCOPE: A model combining Mekov-chain theory and input-output table data to estimate the CO content of final Demand, Environmetrics, Vol.
	www.mi.uni-hamburg.de /technische_meteorologie/cost/cost_615/projects_inventory/projects/project106.html (197 words)

	A local non-parametric model for trade sign inference ewp-fin/0408009 (Site not responding. Last check: 2007-10-20)
		The regularity is evidenced by a predictable relationship between the trade sign (trade initiator), size of the trade, and the contents of the limit order book before the trade.
		The model employs a local non-parametric method, k-nearest-neighbor, which in the past was used successfully for chaotic time series prediction.
		The k-nearest- neighbor with three predictor variables achieves an average out-of- sample classification accuracy of 71.40%, compared to 63.32% for the linear logistic regression with seven predictor variables.
	econwpa.wustl.edu /eprints/fin/papers/0408/0408009.abs (334 words)

	Horowitz, Joel: An Adaptive, Rate-Optimal Test of a Parametric Model Against a Nonparametric Alternative (Site not responding. Last check: 2007-10-20)
		This paper describes a new test of a parametric model of a conditional mean function against a nonparametric alternative.
		The test adapts to the unknown smoothness of the alternative model and is uniformly consistent against alternatives whose distance from the parametric model converges to zero at the fastest possible rate.
		As a consequence, there are alternative models for which the finite-sample power of our test greatly exceeds that of existing tests.
	www.nuff.ox.ac.uk /users/doornik/eswc2000/a/0166.html (179 words)

	A non-parametric model for transcription factor binding sites -- King and Roth 31 (19): 116 -- Nucleic Acids Research
		A characteristic of parametric models is that the number of
		The vertical axis shows the average log-probability for the first model minus the average log-probability for the second model, for each of the 95 transcription factors.
		Xing,E.P., Jordan,M.I., Karp,R.M. and Russell,S. (2002) A hierarchical bayesian markovian model for motifs in biopolymer sequences.
	nar.oupjournals.org /cgi/content/full/31/19/e116 (4813 words)

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