Results 31 to 40 of about 251,998 (281)
Convolutional Neural Networks Grid Search Optimizer Based Brain Tumor Detection
International Transactions on Electrical Engineering and Computer Science, 2023 The brain tissues segmented by MRI and CT provide a more accurate viewpoint on diagnosing various brain illnesses. Many different segmentation approaches may be used to brain MRI images.
Pushpak Kurella
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Classification using distance nearest neighbours [PDF]
, 2010 This paper proposes a new probabilistic classification algorithm using a Markov random field approach. The joint distribution of class labels is explicitly modelled using the distances between feature vectors.
A. N. Pettitt +13 more
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SAR-based change detection using hypothesis testing and Markov random field modelling [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 The objective of this study is to automatically detect changed areas caused by natural disasters from bi-temporal co-registered and calibrated TerraSAR-X data. The technique in this paper consists of two steps: Firstly, an automatic coarse detection step
W. Cao, S. Martinis
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IEEE Access, 2022 A learning-based image relighting framework is proposed for automatically changing the lighting conditions of facial images from one lighting source to another. Given only a 2D unseen facial testing image, the framework automatically infers the highlight
Ching-Ting Tu +2 more
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Deep Markov Random Field for Image Modeling
, 2016 Markov Random Fields (MRFs), a formulation widely used in generative image modeling, have long been plagued by the lack of expressive power. This issue is primarily due to the fact that conventional MRFs formulations tend to use simplistic factors to ...
A Dempster +20 more
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Improved adaptive Markov random field based super-resolution mapping for mangrove tree identification [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Traditionally, forest tree crowns are extracted using airborne or spaceborne hyper-/multi-spectral remotely sensed images or pansharpened images. However, these medium/low spatial resolution images suffer from the mixed pixel problem, and the cost to ...
H. Aghighi +3 more
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Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing [PDF]
, 2015 This paper presents a new Bayesian collaborative sparse regression method for linear unmixing of hyperspectral images. Our contribution is twofold; first, we propose a new Bayesian model for structured sparse regression in which the supports of the ...
Altmann, Yoann +2 more
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Hierarchical equilibria of branching populations [PDF]
, 2003 The objective of this paper is the study of the equilibrium behavior of a population on the hierarchical group $\Omega_N$ consisting of families of individuals undergoing critical branching random walk and in addition these families also develop ...
Dawson, D. A. +2 more
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Hyperspectral image classification with deep 3D capsule network and Markov random field
IET Image Processing, 2022 To address the existing problems of capsule networks in deep feature extraction and spatial‐spectral feature fusion of hyperspectral images, this paper proposes a hyperspectral image classification method that combines a deep residual 3D capsule network ...
Xiong Tan +4 more
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Unsupervised color texture segmentation based on multi-scale region-level Markov random field models [PDF]
Компьютерная оптика, 2019 In the field of color texture segmentation, region-level Markov random field model (RMRF) has become a focal problem because of its efficiency in modeling the large-range spatial constraints.
Xu Song, Liang Wu, Guoying Liu
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