Results 31 to 40 of about 3,168,234 (244)
Orthogonal least squares regression with tunable kernels [PDF]
, 2005 A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressor by incrementally ...
Wang, X.X., Chen, S., Brown, D.J.
core +2 more sources
PERFORMING IMPROVED TWO-STEP CAMERA CALIBRATION WITH WEIGHTED TOTAL LEAST-SQUARES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 In order to improve the Tsai's two-step camera calibration method, we present a camera model which accounts for major sources of lens distortion, namely: radial, decentering, and thin prism distortions.
J. Lu
doaj +1 more source
Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise
IEEE Access, 2022 Optimization of sensor selection has been studied to monitor complex and large-scale systems with data-driven linear reduced-order modeling. An algorithm for greedy sensor selection is presented under the assumption of correlated noise in the sensor ...
Keigo Yamada +3 more
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High-performance numerical algorithms and software for structured total least squares [PDF]
, 2005 We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact.
Van Huffel, S. +3 more
core +2 more sources
Recursive weighted least squares estimation algorithm based on minimum model error principle
Defence Technology, 2021 Kalman filter is commonly used in data filtering and parameters estimation of nonlinear system, such as projectile's trajectory estimation and control. While there is a drawback that the prior error covariance matrix and filter parameters are difficult ...
Xiaoyun Lei, Zhian Zhang
doaj +1 more source
Weighted sparsity and sparse tensor networks for least squares approximation [PDF]
, 2023 The approximation of high-dimensional functions is a ubiquitous problem in many scientific fields that is only feasible practically if advantageous structural properties can be exploited. One prominent structure is sparsity relatively to some basis.
Trunschke, Philipp +2 more
core +1 more source
A new method of weighted choice in InSAR Least Squares unwrapping
Geodesy and Geodynamics, 2012 The decorelation phenomena such as Low-SNR radar signal, shadows and layover caused by topography etc, causes phase data discontinuous and makes the result of unwrapping phase inaccurate or completely wrong.
Liu Weike, Liu Goulin
doaj +1 more source
Closed-form and iterative weighted least squares solutions of Helmert transformation parameters
Journal of Geodetic Science, 2013 The Helmert transformation is the most common transformation between different geodetic systems. In 2-D, in contrast to higher dimensions, it is a well-known procedure how to determine the 4 transformation parameters in a closed form.
Sjöberg L.E.
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
Molecular Oncology, EarlyView.In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
wiley +1 more source