Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems☆
Sign Up to like & getrecommendations! Published in 2017 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2017.08.016
Abstract: In this work we propose and analyze a Hessian-based adaptive sparse quadrature to compute infinite-dimensional integrals with respect to the posterior distribution in the context of Bayesian inverse problems with Gaussian prior. Due to the… read more here.
Keywords: posterior distribution; adaptive sparse; sparse quadrature; quadrature ... See more keywords
Learning Adaptive Sparse Spatially-Regularized Correlation Filters for Visual Tracking
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3238277
Abstract: The correlation filter(CF)-based tracker is a classic and effective model in the field of visual tracking. For a long time, most CF-based trackers solved filters using only ridge regression equations with $l_{2}$-norm, which can make… read more here.
Keywords: tex math; inline formula; correlation; model ... See more keywords
Spectral–Spatial Hyperspectral Image Classification Using a Multiscale Conservative Smoothing Scheme and Adaptive Sparse Representation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2915809
Abstract: Spatial information has been demonstrated to be useful for hyperspectral images (HSIs) classification. The challenge is that spatial properties are often present at various spatial scales instead of a single fixed scale. A multiscale conservative… read more here.
Keywords: representation; conservative smoothing; multiscale conservative; sparse ... See more keywords
Detection and Estimation Algorithm for Marine Target With Micromotion Based on Adaptive Sparse Modified-LV’s Transform
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3138188
Abstract: Due to the complex marine environment and high-order frequency modulation (FM) on radar echo from the micromotion of the target, the effective and robust detection of a marine target with micromotion under heavy sea clutters’… read more here.
Keywords: sparse; modified transform; micromotion; detection ... See more keywords
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2986201
Abstract: Recently, many real-world applications exploit multi-view data, which is collected from diverse domains or obtained from various feature extractors and reflect different properties or distributions of the data. In this work, a novel unsupervised multi-view… read more here.
Keywords: clustering adaptive; memberships weight; view; sparse memberships ... See more keywords
Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.458360
Abstract: In-line lensless digital holography has great potential in multiple applications; however, reconstructing high-quality images from a single recorded hologram is challenging due to the loss of phase information. Typical reconstruction methods are based on solving… read more here.
Keywords: digital holography; lensless digital; reconstruction; phase ... See more keywords
A REVIEW ON MULTIPLE-FEATURE-BASED ADAPTIVE SPARSE REPRESENTATION (MFASR) AND OTHER CLASSIFICATION TYPES
Sign Up to like & getrecommendations! Published in 2017 at "International Journal on Smart Sensing and Intelligent Systems"
DOI: 10.21307/ijssis-2017-224
Abstract: A new technique Multiple-feature-based adaptive sparse representation (MFASR) has been demonstrated for Hyperspectral Images (HSI’s) classification. This method involves mainly in four steps at the various stages. The spectral and spatial information reflected from the… read more here.
Keywords: classification; sparse representation; adaptive sparse; mfasr ... See more keywords
Adaptive Sparse Multi-Block PLS Discriminant Analysis: An Integrative Method for Identifying Key Biomarkers from Multi-Omics Data
Sign Up to like & getrecommendations! Published in 2023 at "Genes"
DOI: 10.3390/genes14050961
Abstract: With the growing use of high-throughput technologies, multi-omics data containing various types of high-dimensional omics data is increasingly being generated to explore the association between the molecular mechanism of the host and diseases. In this… read more here.
Keywords: adaptive sparse; discriminant analysis; multi omics; omics data ... See more keywords
An Adaptive Sparse Algorithm for Synthesizing Note Specific Atoms by Spectrum Analysis, Applied to Music Signal Separation
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Electrical and Computer Engineering"
DOI: 10.4316/aece.2017.02014
Abstract: In this paper, a sparse method is proposed to synthesize the note-specific atoms for musical notes of different instruments, and is applied to separate the sounds of two instruments co ... read more here.
Keywords: sparse algorithm; adaptive sparse; note specific; specific atoms ... See more keywords