Results 211 to 220 of about 389,994 (266)
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Invariance, model matching and probability matching
Sankhya A, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eaton, Morris L., Sudderth, William D.
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IFAC Proceedings Volumes, 1991
Abstract In control systems, when two types of characteristic transfer function matrices between the reference inputs and the outputs, and between the conceptual inputs and the outputs respectively are considered, there exist one-to-one corresponding relationships between these characteristic transfer function matrices and those of the controllers ...
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Abstract In control systems, when two types of characteristic transfer function matrices between the reference inputs and the outputs, and between the conceptual inputs and the outputs respectively are considered, there exist one-to-one corresponding relationships between these characteristic transfer function matrices and those of the controllers ...
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Extended Zeros and Model Matching
SIAM Journal on Control and Optimization, 1991The authors study the constraints imposed upon the zeros of \(k(z)\)-linear maps \(P(z): U(z)\to Y(z)\) and \(M(z): R(z)\to U(z)\) by reason of the fact tht they satisfy the model matching equation \(T(z)=P(z)M(z)\), in which \(T(z): R(z)\to Y(z)\) is \(k(z)\)-linear as well over the field \(k(z)\) of rational functions in \(z\) having coefficients in ...
Sain, Michael K. +2 more
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Global matching models of recognition memory: How the models match the data
Psychonomic Bulletin & Review, 1996We present a review of global matching models of recognition memory, describing their theoretical origins and fundamental assumptions, focusing on two defining properties: (1) recognition is based solely on familiarity due to a match of test items to memory at a global level, and (2) multiple cues are combined interactively.
S E, Clark, S D, Gronlund
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Model matching for finite state machines
Proceedings of 1994 33rd IEEE Conference on Decision and Control, 2001The problem of model matching has been previously considered for linear (see \textit{B. Moore} and \textit{L. Silverman} [ibid. 17, 491-497 (1972; Zbl 0263.93033)], \textit{A. S. Morse} [ibid. 18, 346-354 (1973; Zbl 0264.93005)]) and nonlinear (\textit{M. D. Di Benedetto} [ibid. 35, 1351-1355 (1990; Zbl 0734.93039)], \textit{A. Isidori} [ibid.
DI BENEDETTO, MARIA DOMENICA +2 more
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Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2002
A simple MAP model-matching criterion that captures important aspects of recognition in controlled situations is described. A detailed metrical object model is assumed. A probabilistic model of image features is combined with a simple prior on both the pose and the feature interpretations to yield a mixed objective function.
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A simple MAP model-matching criterion that captures important aspects of recognition in controlled situations is described. A detailed metrical object model is assumed. A probabilistic model of image features is combined with a simple prior on both the pose and the feature interpretations to yield a mixed objective function.
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Annual Review of Economics, 2011
This article reviews the developments in frictional matching models from 1990 to 2010, exploring how search frictions skew the matches that occur. This research succeeded by exploiting new tools from monotone methods under uncertainty. Seeing how this journey plays out is instructive in itself for economic theory.
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This article reviews the developments in frictional matching models from 1990 to 2010, exploring how search frictions skew the matches that occur. This research succeeded by exploiting new tools from monotone methods under uncertainty. Seeing how this journey plays out is instructive in itself for economic theory.
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Robust Active Appearance Model Matching
2005A novel robust active appearance model (AAM) matching algorithm is presented. The method consists of two main stages. First, initial residuals are clustered by a non parametric mean shift mode detection step. Second, modes without gross outliers are selected using an objective function.
Reinhard, Beichel +3 more
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Matching Between Photogrammetric Models
The Canadian Surveyor, 1981Solutions for matching between photogrammetric models and adjusting information related to the edges of adjacent DTMs are presented.
B. Shmutter, Y. Doytsher
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Asymptotic nonlinear model matching
29th IEEE Conference on Decision and Control, 1990The problem of matching a given input-output behavior for systems described by general nonlinear differential equations is considered. The paper complements previous work on the exact matching of a model for nonlinear systems. In particular, the authors investigate the case where the initial state does not belong to the appropriate submanifold of the ...
R. Castro, DI BENEDETTO, MARIA DOMENICA
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