Results 81 to 90 of about 1,718,862 (286)
Inducing Features of Random Fields
, 1995 We present a technique for constructing random fields from a set of training samples. The learning paradigm builds increasingly complex fields by allowing potential functions, or features, that are supported by increasingly large subgraphs.
Della Pietra, S. +2 more
core +1 more source
The Annals of Applied Probability, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kunsch, Hans +2 more
openaire +3 more sources
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
FEBS Open Bio, EarlyView.Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
Solute transport in aquifers with evolving scale heterogeneity
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015 Transport processes in groundwater systems with spatially heterogeneous properties often exhibit anomalous behavior. Using first-order approximations in velocity fluctuations we show that anomalous superdiffusive behavior may result if velocity fields ...
Suciu N. +6 more
doaj +1 more source
Kernel density estimation for stationary random fields [PDF]
, 2014 In this paper, under natural and easily verifiable conditions, we prove the $\mathbb{L}^1$-convergence and the asymptotic normality of the Parzen-Rosenblatt density estimator for stationary random fields of the form $X_k = g\left(\varepsilon_{k-s}, s \in
Machkouri, Mohamed El
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FEBS Open Bio, EarlyView.The inhibition of mitochondrial dihydroorotate dehydrogenase (DHODH) impairs syncytialization and induces cellular senescence via mitochondrial and endoplasmic reticulum stress in human trophoblast stem cells, elevating sFlt1/PlGF levels, a hallmark of placental dysfunction in hypertensive disorders of pregnancy.
Kanoko Yoshida +6 more
wiley +1 more source
A Deep-Structured Fully Connected Random Field Model for Structured Inference
IEEE Access, 2015 There has been significant interest in the use of fully connected graphical models and deep-structured graphical models for the purpose of structured inference.
Alexander Wong +3 more
doaj +1 more source
Random determinants, mixed volumes of ellipsoids, and zeros of Gaussian random fields [PDF]
, 2012 Consider a $d\times d$ matrix $M$ whose rows are independent centered non-degenerate Gaussian vectors $\xi_1,...,\xi_d$ with covariance matrices $\Sigma_1,...,\Sigma_d$. Denote by $\mathcal{E}_i$ the location-dispersion ellipsoid of $\xi_i:\mathcal{E}_i={
Kabluchko, Zakhar, Zaporozhets, Dmitry
core
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
The geodesic dispersion phenomenon in random field dynamics: probing the shape of time
Journal of Physics: ComplexityGaussian random fields (GRFs) provide a fundamental framework for modeling stochastic spatial phenomena with broad applications in physics and related fields.
Alexandre L M Levada
doaj +1 more source