Results 21 to 30 of about 7,531,042 (311)
Ecosphere, 2023 Population and community ecology traditionally has a very strong theoretical foundation with well‐known dynamical models, such as the logistic and its variations, and many modifications of the classical Lotka–Volterra predator–prey and interspecific ...
Benjamin Rosenbaum, Emanuel A. Fronhofer
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Vehicle Localization Using 3D Building Models and Point Cloud Matching
Sensors, 2021 Detecting buildings in the surroundings of an urban vehicle and matching them to building models available on map services is an emerging trend in robotics localization for urban vehicles.
Augusto Luis Ballardini +4 more
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Graphical models for graph matching
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004 Technical report TR03-21. This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov Random Field. We approximate the fully connected model with simpler models in which optimal inference is feasible, and contrast them to the well-known probabilistic relaxation method, which can operate over the complete
Caelli, Terry +2 more
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A Decomposition Model for Stereo Matching [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 CVPR ...
Chengtang Yao +4 more
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Schema matching based on energy domain pre-trained language model
Energy Informatics, 2023 Data integration in the energy sector, which refers to the process of combining and harmonizing data from multiple heterogeneous sources, is becoming increasingly difficult due to the growing volume of heterogeneous data.
Zhiyu Pan, Muchen Yang, Antonello Monti
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Flow Matching for Generative Modeling
CoRR, 2022 We introduce a new paradigm for generative modeling built on Continuous Normalizing Flows (CNFs), allowing us to train CNFs at unprecedented scale. Specifically, we present the notion of Flow Matching (FM), a simulation-free approach for training CNFs based on regressing vector fields of fixed conditional probability paths.
Yaron Lipman +4 more
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Reference Tracts and Generative Models for Brain White Matter Tractography
Journal of Imaging, 2017 Background: Probabilistic neighborhood tractography aims to automatically segment brain white matter tracts from diffusion magnetic resonance imaging (dMRI) data in different individuals. It uses reference tracts as priors for the shape and length of the
Susana Muñoz Maniega +4 more
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Diffusion Model for Dense Matching
, 2023 The objective for establishing dense correspondence between paired images consists of two terms: a data term and a prior term. While conventional techniques focused on defining hand-designed prior terms, which are difficult to formulate, recent approaches have focused on learning the data term with deep neural networks without explicitly modeling the ...
Jisu Nam +6 more
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Outlier modeling in image matching [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003 We address the question of how to characterize the outliers that may appear when matching two views of the same scene. The match is performed by comparing the difference of the two views at a pixel level aiming at a better registration of the images.
David Hasler +3 more
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Stability of the stochastic matching model [PDF]
Journal of Applied Probability, 2016 Abstract We introduce and study a new model that we call the matching model. Items arrive one by one in a buffer and depart from it as soon as possible but by pairs. The items of a departing pair are said to be matched. There is a finite set of classes 𝒱 for the items, and the allowed matchings depend on the classes, according to a matching graph on 𝒱.
Mairesse, Jean, Moyal, Pascal
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