Results 41 to 50 of about 16,220,352 (310)
Explaining predictive models using Shapley values and non-parametric vine copulas
Dependence Modeling, 2021 In this paper the goal is to explain predictions from complex machine learning models. One method that has become very popular during the last few years is Shapley values.
Aas Kjersti +3 more
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Action classification using a discriminative non-parametric hidden Markov model [PDF]
, 2013 We classify human actions occurring in videos, using the skeletal joint positions extracted from a depth image sequence as features. Each action class is represented by a non-parametric Hidden Markov Model (NP-HMM) and the model parameters are learnt in ...
Maybank, Stephen J. +5 more
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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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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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Non-parametric and light-field deformable models [PDF]
Computer Vision and Image Understanding, 2006 Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications including object recognition, tracking and segmentation. These techniques, however, have been limited to objects with Lambertian surface reflectance, simple geometry and topology.
C. Mario Christoudias +2 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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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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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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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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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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