Results 41 to 50 of about 273,497 (278)

r-Regularity

open access: yesJournal of Mathematical Imaging and Vision, 2014
We provide a characterization of r-regular sets in terms of the Lipschitz regularity of normal vector fields to the boundary.
Duarte, P., Torres, M. J.
openaire   +4 more sources

Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Satellite soil moisture and vegetation optical depth [(VOD); related to the total vegetation water mass per unit area] are increasingly being used to study water relations in the soil-plant continuum across the globe.
Andrew Feldman   +2 more
doaj   +1 more source

Deep Transfer Learning Method Using Self-Pixel and Global Channel Attentive Regularization

open access: yesSensors
The purpose of this paper is to propose a novel transfer learning regularization method based on knowledge distillation. Recently, transfer learning methods have been used in various fields. However, problems such as knowledge loss still occur during the
Changhee Kang, Sang-ug Kang
doaj   +1 more source

Singularly perturbed control problems in the case of the stability of the spectrum of the matrix of an optimal system

open access: yesҚарағанды университетінің хабаршысы. Математика сериясы, 2019
The paper considers a singularly perturbed control problem with a quadratic quality functional. Such problems in their standard formulation under known spectrum restrictions (the points of the spectrum of the optimal system are not purely imaginary and
A.A. Bobodzhanov   +2 more
doaj   +1 more source

Mathematical Methods in Feature Selection: A Review

open access: yesMathematics
Feature selection is essential in machine learning and data science. Recently, there has been a growing effort to apply various mathematical methods to construct novel feature selection algorithms.
Firuz Kamalov   +5 more
doaj   +1 more source

On uniform regularity and strong regularity [PDF]

open access: yesOptimization, 2018
We investigate uniform versions of (metric) regularity and strong (metric) regularity on compact subsets of Banach spaces, in particular, along continuous paths. These two properties turn out to play a key role in analyzing path-following schemes for tracking a solution trajectory of a parametric generalized equation or, more generally, of a ...
R. Cibulka, J. Preininger, T. Roubal
openaire   +2 more sources

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Interferometry synthetic aperture radar (InSAR) technology has been widely applied to the identification and monitoring of unstable slopes. Recent studies have demonstrated that polarization information can enhance the quality of interferometric phase ...
Yahui Qiu   +4 more
doaj   +1 more source

Entropy convergence in early bilinguals’ syntactic packaging

open access: yesFrontiers in Psychology, 2022
A core question in developmental and cognitive research concerns the way linguistic variation affects the acquisition process. Previous research on monolinguals suggests that children, but not adults, tend to regularize inconsistent input, resulting in ...
Helen Engemann
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

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