Results 101 to 110 of about 768,860 (284)
Bayesian approach with extended support estimation for sparse linear regression
Results in Applied Mathematics, 2019 A greedy algorithm called Bayesian multiple matching pursuit (BMMP) is proposed to estimate a sparse signal vector and its support given m linear measurements. Unlike the maximum a posteriori (MAP) support detection, which was proposed by Lee to estimate
Kyung-Su Kim, Sae-Young Chung
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Classification of Acoustic Emissions Using Modified Matching Pursuit
EURASIP Journal on Advances in Signal Processing, 2004 We propose methodologies to automatically classify time-varying warning signals from an acoustic monitoring system that indicate the potential catastrophic structural failures of reinforced concrete structures. Since missing even a single warning signal
Papandreou-Suppappola Antonia +2 more
doaj +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Journal of Low Frequency Noise, Vibration and Active Control, 2019 In order to extract fault impulse feature of large-scale rotating machinery from strong background noise, a sparse feature extraction method based on sparse decomposition combined multiresolution generalized S transform is proposed in this paper. In this
Baokang Yan +4 more
doaj +1 more source
On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit
IEEE Access, 2019 Compressive sampling matching pursuit (CoSaMP) is an efficient reconstruction algorithm for sparse signal. When the signal is block sparse, i.e., the non-zero elements are presented in clusters, some block sparse reconstruction algorithms have been ...
Xiaobo Zhang +4 more
doaj +1 more source
Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
An orthogonal matching pursuit optimization method for solving minimum-monitor-unit problems: Applications to proton IMPT, ARC and FLASH. [PDF]
Med Phys, 2023 Zhu YN +4 more
europepmc +1 more source
Progressive Source Coding by Matching Pursuit: Application in Image and Gaussian Data Compression
, 2009 Conventional image compression algorithms use transform coding to achieve a compact representation of the image. Most transforms used in image compression algorithms map image data to a complete set of transform basis functions which can decorrelate ...
Shoa, Alireza
core
Group polytope faces pursuit for recovery of block-sparse signals [PDF]
, 2012 This is the accepted version of the article. The final publication is available at link.springer.com.
Gretsistas, A +3 more
core +1 more source