Results 61 to 70 of about 209,947 (320)

Blended Matching Pursuit

, 2019
Matching pursuit algorithms are an important class of algorithms in signal processing and machine learning. We present a blended matching pursuit algorithm, combining coordinate descent-like steps with stronger gradient descent steps, for minimizing a smooth convex function over a linear space spanned by a set of atoms.
Combettes, Cyrille W., Pokutta, Sebastian   +1 more
openaire   +2 more sources

A New Generalized Orthogonal Matching Pursuit Method

Journal of Electrical and Computer Engineering, 2017
To improve the reconstruction performance of the generalized orthogonal matching pursuit, an improved method is proposed. Columns are selected from the sensing matrix by generalized orthogonal matching pursuit, and indices of the columns are added to the
Liquan Zhao, Yulong Liu
doaj   +1 more source

Sparse approximation of multivariate functions from small datasets via weighted orthogonal matching pursuit

, 2019
We show the potential of greedy recovery strategies for the sparse approximation of multivariate functions from a small dataset of pointwise evaluations by considering an extension of the orthogonal matching pursuit to the setting of weighted sparsity ...
A Chkifa, A Doostan, B Adcock, B Adcock, H Rauhut, H Rauhut, J Peng, L Mathelin, M Grant, VN Temlyakov, X Yang   +10 more
core   +1 more source

Federated Gradient Matching Pursuit

IEEE Transactions on Information Theory
Submitted to a ...
Halyun Jeong, Deanna Needell, Jing Qin
openaire   +3 more sources

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

A Dictionary-Based Pursuit Algorithm for Magnetotelluric Signal-Noise Separation

IEEE Access
A critical challenge in magnetotelluric (MT) studies is the effective suppression of noise in collected data prior to investigating deep geological structures and detecting deep-seated blind ore bodies.
Jin Cai, Jianhua Cai
doaj   +1 more source

Application of AVO Information-constrained Matching Pursuit Technique in Rich Coal Reservoir Characterization

CT Lilun yu yingyong yanjiu, 2023
To address the low accuracy of reservoir characterization in XiHu Sag in a coal-rich environment, this study developed a matching pursuit technology based on AVO information constraints combined with the AVO intercept and gradient characteristics of coal.
Qingwen LIU, Dewen QIN, Wei HU
doaj   +1 more source

Backward-Optimized Orthogonal Matching Pursuit Approach [PDF]

IEEE Signal Processing Letters, 2004
A recursive approach for shrinking coefficients of an atomic decomposition is proposed. The corresponding algorithm evolves so as to provide at each iteration 1) the orthogonal projection of a signal onto a reduced subspace and 2) the index of the coefficient to be disregarded in order to construct a coarser approximation minimizing the norm of the ...
Andrle, Miroslav, Rebollo-Neira, Laura, Sagianos, Evangelos   +2 more
openaire   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit. [PDF]

Adv Neural Inf Process Syst, 2014
Knudson KC, Yates JL, Huk AC, Pillow J.
europepmc   +1 more source