Results 21 to 30 of about 458,841 (313)
An Enhanced Hidden Markov Map Matching Model for Floating Car Data
Sensors, 2018 The map matching (MM) model plays an important role in revising the locations of floating car data (FCD) on a digital map. However, most existing MM models have multiple shortcomings, such as a low matching accuracy for complex roads, long running times,
Mingliang Che +3 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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Robust Matching of Aerial-Ground Images Optimized by Multi-Layer Progressive Feature Alignment Network [PDF]
Jisuanji gongcheng, 2023 Fine 3D models provide the key spatial basic information for smart city construction. However, factors such as perspective changes and occlusion lead to inaccurate edges, holes, and blurry building facade textures in 3D models generated from aerial ...
Huan ZHANG, Tao HUANG, Junjie XU, Chuan XU, Wei YANG
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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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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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Modeling outcomes of soccer matches [PDF]
Machine Learning, 2018 We compare various extensions of the Bradley-Terry model and a hierarchical Poisson log-linear model in terms of their performance in predicting the outcome of soccer matches (win, draw, or loss). The parameters of the Bradley-Terry extensions are estimated by maximizing the log-likelihood, or an appropriately penalized version of it, while the ...
Alkeos Tsokos +6 more
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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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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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Semiglobal Matching Results on the ISPRS Stereo Matching Benchmark
, 2011 Digital surface models can be efficiently generated with automatic image matching from optical stereo images. The Working Group 4 of Commission I on "Geometric and Radiometric Modelling of Optical Spaceborne Sensors" provides a matching benchmark ...
Reinartz, Peter +3 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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