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Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances
(2018-06-05)
Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery ...
K-means algorithm based on stochastic distances for polarimetric synthetic aperture radar image classification
(2016-10-01)
The availability of polarimetric synthetic aperture radar (PolSAR) images has increased, and consequently, the classification of such images has received immense attention. Among different classification methods in the ...
Spectral-Spatial-Aware Unsupervised Change Detection with Stochastic Distances and Support Vector Machines
(2021-04-01)
Change detection is a topic of great interest in remote sensing. A good similarity metric to compute the variations among the images is the key to high-quality change detection. However, most existing approaches rely on ...
Hierarchical clustering and stochastic distance for indirect semi-supervised remote sensing image classification
(Springer, 2019-03-01)
Usually, image classification methods have supervised or unsupervised learning paradigms. While unsupervised methods do not need training data, the meanings behind the classified elements are not explicitly know. Conversely, ...
Decomposition of stochastic flow and an averaging principle for slow perturbations
(2020-01-01)
In this work we use the stochastic flow decomposition technique to get components that represent the dynamics of the slow and fast motion of a stochastic differential equation with a random perturbation. Assuming a Lipschitz ...
Extragradient method with variance reduction for stochastic variational inequalities
(SIAM Publications, 2017)
We propose an extragradient method with stepsizes bounded away from zero for stochastic variational inequalities requiring only pseudomonotonicity. We provide convergence and complexity analysis, allowing for an unbounded ...
Quantitative Propagation of Chaos for Generalized Kacparticle Systems
(Inst Mathematical Statistics, 2016)
We study a class of one-dimensional particle systems with true (Bird type) binary interactions, which includes Kac's model of the Boltzmann equation and nonlinear equations for the evolution of wealth distribution arising ...
HEALTHCARE ACCESSIBILITY SHORTFALLS AND HOSPITAL INFRASTRUCTURES IN CHILE
(ILADES - Universidad Alberto Hurtado., 2009)
Examining region-based methods for land cover classification using stochastic distances
(2016-04-17)
ABSTRACT: A recent alternative to standard pixel-based classification of remote-sensing data is region-based classification, which has proved to be particularly useful when analysing high-resolution imagery of complex ...
Cooperative RNA Polymerase Molecules Behavior on a Stochastic Sequence-Dependent Model for Transcription Elongation
(2013-02-21)
The transcription process is crucial to life and the enzyme RNA polymerase (RNAP) is the major component of the transcription machinery. The development of single-molecule techniques, such as magnetic and optical tweezers, ...