Results 271 to 280 of about 458,841 (313)
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Instruction Matching and Modeling
2007Creating a custom processor that is application-specific is an onerous task upon a designer, who constantly has to ask whether the resulting design is optimal. To obtain such an optimal design is an NP-hard problem, made more time consuming because of the numerous combinations of available parts that make up the processor.
Parameswaran, Sri +2 more
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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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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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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 reduction by phase matching
Mathematics of Control, Signals, and Systems, 1989zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michael Green, Brian D. O. Anderson
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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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A hierarchical neural model of matching
Information Sciences, 1994Abstract The issue of matching two fuzzy sets emerges as an essential design aspect in many algorithms of processing fuzzy information including fuzzy controllers, pattern classifiers, knowledge-based systems, etc. This paper introduces a new model of matching. The primordial features of the proposed model involve: 1.
Witold Pedrycz, Eugene Roventa
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Model matching for signal enhancement
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014In many advanced signal processing applications including acoustic signal enhancement, signals are not known a priori, except for some general statistical properties. These properties are typically encapsulated in statistical models. It is then intuitively expected that by matching these models, target signals can be recovered. Consequently, the aim of
Mehrez Souden, Biing-Hwang Fred Juang
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Equivalence of canonical matching models
Games and Economic Behavior, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Kennes +2 more
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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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