Results 31 to 40 of about 102,807 (280)

Large Deviation Principle for Enhanced Gaussian Processes [PDF]

open access: yes, 2006
We study large deviation principles for Gaussian processes lifted to the free nilpotent group of step N. We apply this to a large class of Gaussian processes lifted to geometric rough paths.
Friz, Peter, Victoir, Nicolas
core   +3 more sources

Mild Hydrothermal Treatment for Improving Outturn of Basmati Rice

open access: yesAgriEngineering, 2023
Hydrothermal treatment of rice, called “Parboiling”, is an ancient traditional process in Asian countries. It consists of soaking rough rice in water and steaming it, and it both reduces the level of grain breakage and increases head yield of rice during
D. M. C. Champathi Gunathilake   +1 more
doaj   +1 more source

Kernel-based fuzzy-rough nearest neighbour classification [PDF]

open access: yes2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011
Fuzzy-rough sets play an important role in dealing with imprecision and uncertainty for discrete and real-valued or noisy data. However, there are some problems associated with the approach from both theoretical and practical viewpoints. These problems have motivated the hybridisation of fuzzy-rough sets with kernel methods.
Yanpeng Qu   +4 more
openaire   +1 more source

Fractional multilinear integrals with rough kernels on generalized weighted Morrey spaces

open access: yesOpen Mathematics, 2016
In this paper, we study the boundedness of fractional multilinear integral operators with rough kernels TΩ,αA1,A2,…,Ak,$T_{\Omega ,\alpha }^{{A_1},{A_2}, \ldots ,{A_k}},$ which is a generalization of the higher-order commutator of the rough fractional ...
Akbulut Ali, Hasanov Amil
doaj   +1 more source

A Remote Sensing Image Semantic Segmentation Method by Combining Deformable Convolution with Conditional Random Fields [PDF]

open access: yesJournal of Geodesy and Geoinformation Science, 2020
Currently, deep convolutional neural networks have made great progress in the field of semantic segmentation. Because of the fixed convolution kernel geometry, standard convolution neural networks have been limited the ability to simulate geometric ...
ZUO Zongcheng,ZHANG Wen,ZHANG Dongying
doaj   +1 more source

Heritability and Genetic Advance Estimates of Key Shea Fruit Traits

open access: yesAgronomy, 2023
Genetic erosion of shea trees, which has been on-going at an alarming rate, has necessitated urgent conservation attentions. Owing to the vast geographical distribution of the species across Ghana, in situ germplasms conservation was established by ...
Wisdom Edem Anyomi   +7 more
doaj   +1 more source

Energy inequalities for cutoff functions and some applications

open access: yes, 2013
We consider a metric measure space with a local regular Dirichlet form. We establish necessary and sufficient conditions for upper heat kernel bounds with sub-diffusive space-time exponent to hold.
Andres, Sebastian, Barlow, Martin T.
core   +1 more source

Boundedness for a Class of Generalized Commutators of Fractional Hardy Operators with a Rough Kernel

open access: yesAbstract and Applied Analysis, 2013
The authors consider the generalized commutator of fractional Hardy operator with a rough kernel as follows: where , , and with . The authors prove that is bounded on Herz type space and -Central Morrey space with , which is an open problem for .
Xiao Yu, Shanzhen Lu
doaj   +1 more source

SHORT TIME FULL ASYMPTOTIC EXPANSION OF HYPOELLIPTIC HEAT KERNEL AT THE CUT LOCUS

open access: yesForum of Mathematics, Sigma, 2017
In this paper we prove a short time asymptotic expansion of a hypoelliptic heat kernel on a Euclidean space and a compact manifold. We study the ‘cut locus’ case, namely, the case where energy-minimizing paths which join the two points under ...
YUZURU INAHAMA, SETSUO TANIGUCHI
doaj   +1 more source

Evaluation modeling of highway collapse hazard based on rough set and support vector machine

open access: yesScientific Reports, 2022
The prediction of possibility and risk classification of collapse is an important issue in the process of highway construction in mountain area. Based on the principle of rough set and support vector machine, a landslide hazard prediction model was ...
Hujun He   +5 more
doaj   +1 more source

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