Results 41 to 50 of about 17,207,506 (302)
Non-parametric Bayesian Constrained Local Models [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 This work presents a novel non-parametric Bayesian formulation for aligning faces in unseen images. Popular approaches, such as the Constrained Local Models (CLM) or the Active Shape Models (ASM), perform facial alignment through a local search, combining an ensemble of detectors with a global optimization strategy that constraints the facial feature ...
Pedro Martins 0004 +2 more
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An algorithm for non-parametric estimation in state–space models [PDF]
Computational Statistics & Data Analysis, 2021 State-space models are ubiquitous in the statistical literature since they provide a flexible and interpretable framework for analyzing many time series. In most practical applications, the state-space model is specified through a parametric model. However, the specification of such a parametric model may require an important modeling effort or may ...
Chau, Thi Tuyet Trang +2 more
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Parametric regression of 3D medical images through the exploration of non-parametric regression models [PDF]
, 2010 International audienceCurrently there is an increase usage of CT-based bone diagnosis because low-radiation and cost-effective 2D imaging modalities do not provide the necessary 3D information for bone diagnosis.
Christof Seiler +6 more
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Non-parametric models in the monitoring of engine performance and condition: Part 1: modelling of non-linear engine processes [PDF]
, 1999 This paper proposes the use of radial basis function (RBF) networks in the modelling of non-linear engine processes. A pertinent application of such a model is the reconstruction of cylinder pressure based upon the instantaneous angular velocity of the ...
Jacob, P J, Gu, Fengshou, Ball, Andrew
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A Framework to Model Bursty Electronic Data Interchange Messages for Queueing Systems
Future Internet, 2022 Within a supply chain organisation, where millions of messages are processed, reliability and performance of message throughput are important. Problems can occur with the ingestion of messages; if they arrive more quickly than they can be processed, they
Sonya Leech +2 more
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Active Learning for Non-Parametric Choice Models
, 2022 We study the problem of actively learning a non-parametric choice model based on consumers' decisions. We present a negative result showing that such choice models may not be identifiable. To overcome the identifiability problem, we introduce a directed acyclic graph (DAG) representation of the choice model, which in a sense captures as much ...
Fransisca Susan +3 more
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DWT based non-parametric texture modeling [PDF]
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002 We propose a non-parametric texture modeling and synthesis technique based on the integer version of the discrete wavelet transform (DWT). The successive levels of the DWT pyramid of the input texture are progressively sampled starting from the signal approximation to generate the analogous wavelet pyramid for the synthetic texture.
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Advances in Electrical and Electronic Engineering, 2021 Due to the rising usage of various broadcasting systems and web-casting applications, a measurement of audio quality has become an essential task. This paper presents a benchmark of the parametric models for non-intrusive estimation of the audio quality ...
Martin Jakubik, Peter Pocta
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Non-parametric Models with Instrumental Variables [PDF]
, 2011 This chapter gives a survey of econometric models characterized by a relation between observable and unobservable random elements where these unobservable terms are assumed to be independent of another set of observable variables called instrumental variables.
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A Non-Parametric Generative Model for Human Trajectories [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Modeling human mobility and synthesizing realistic trajectories play a fundamental role in urban planning and privacy-preserving location data analysis. Due to its high dimensionality and also the diversity of its applications, existing trajectory generative models do not preserve the geometric (and more importantly) semantic features of human ...
Kun Ouyang +3 more
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