Results 71 to 80 of about 59,745 (265)

Error-Bounds on Curvature Estimation [PDF]

open access: yes, 2003
Estimation of a digital curve's curvature at any given point is needed for many tasks in computer vision, be it differential invariants or curvature scale space. However, curvature estimation is known to be very susceptible to noise on the contour. We shall show how noise on the contour affects the relative accuracy of the curvature computation.
openaire   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

Multistep methods for coupled second order integro-differential equations: stability, convergence and error bounds

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1997
In this paper multistep methods for systems of coupled second order Volterra integro-differential equations are proposed. Stability and convergence properties are studied and an error bound for the discretization error is given.
Lucas Jódar   +2 more
doaj   +1 more source

Constrained Multi-Sensor Control Using a Multi-Target MSE Bound and a δ-GLMB Filter

open access: yesSensors, 2018
The existing multi-sensor control algorithms for multi-target tracking (MTT) within the random finite set (RFS) framework are all based on the distributed processing architecture, so the rule of generalized covariance intersection (GCI) has to be used to
Feng Lian   +3 more
doaj   +1 more source

Error Bounds for Computer Arithmetics [PDF]

open access: yes2019 IEEE 26th Symposium on Computer Arithmetic (ARITH), 2019
This note summarizes recent progress in error bounds for compound operations performed in some computer arithmetic. Given a general set of real numbers together with some operations satisfying the first standard model, we identify three types A, B, and C of weak sufficient assumptions implying new results and sharper error estimates.
openaire   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park   +6 more
wiley   +1 more source

Distributional approximations for the number of sign changes and the maximum value of a symmetric random walk

open access: yesJournal of Inequalities and Applications
Two path statistics of a symmetric random walk, namely the number of sign changes and the maximum value, are approximated by a half normal distribution.
Tatpon Siripraparat   +1 more
doaj   +1 more source

Extending Reliability of mmWave Radar Tracking and Detection via Fusion With Camera

open access: yesIEEE Access, 2019
In this paper, a new radar-camera fusion system is presented. The fusion system takes into consideration the error bounds of the two different coordinate systems from the heterogeneous sensors, and further a new fusion-extended Kalman filter is utilized ...
Renyuan Zhang, Siyang Cao
doaj   +1 more source

Bounding errors of Expectation-Propagation

open access: yes, 2016
Expectation Propagation is a very popular algorithm for variational inference, but comes with few theoretical guarantees. In this article, we prove that the approximation errors made by EP can be bounded. Our bounds have an asymptotic interpretation in the number $n$ of datapoints, which allows us to study EP's convergence with respect to the true ...
Guillaume P. Dehaene, Simon Barthelmé
openaire   +3 more sources

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