Results 1 to 10 of about 215,679 (256)

Social-sparsity brain decoders: faster spatial sparsity [PDF]

2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2016
Spatially-sparse predictors are good models for brain decoding: they give accurate predictions and their weight maps are interpretable as they focus on a small number of regions.
Kowalski, Matthieu, Thirion, Bertrand, Varoquaux, Gaël   +2 more
core   +7 more sources

Hyperspectral image non-linear unmixing using joint extrinsic and intrinsic priors with L1/2-norms to non-negative matrix factorisation

Journal of Spectral Imaging, 2022
Hyperspectral unmixing (HU) is one of the most active emerging areas in image processing that estimates the hyperspectral image’s endmember and abundance.
K. Priya, K. K. Rajkumar
doaj   +1 more source

Efficient Weighted-Adaptive Sparse Constrained Nonnegative Tensor Factorization for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral unmixing aims to separate pure materials and their corresponding proportions that constitute the mixed pixels of hyperspectral imagery (HSI). Recently, the matrix-vector nonnegative tensor factorization (MV-NTF) has attracted wide attention
Ping Yang, Ting-Zhu Huang, Jie Huang, Jin-Ju Wang   +3 more
doaj   +1 more source

Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates

Mathematics, 2022
As applied sciences grow by leaps and bounds, semiparametric regression analyses have broad applications in various fields, such as engineering, finance, medicine, and public health.
Yunquan Song, Yaqi Liu, Hang Su
doaj   +1 more source

Feature Mining and Sensitivity Analysis with Adaptive Sparse Attention for Bearing Fault Diagnosis

Applied Sciences, 2023
Bearing fault diagnosis for equipment-safe operation has a crucial role. In recent years, more achievements have been made in bearing fault diagnosis. However, for the fault diagnosis model, the representation and sensitivity of bearing fault features ...
Qinglei Jiang, Binbin Bao, Xiuqun Hou, Anzheng Huang, Jiajie Jiang, Zhiwei Mao   +5 more
doaj   +1 more source

When It Counts—Econometric Identification of the Basic Factor Model Based on GLT Structures

Econometrics, 2023
Despite the popularity of factor models with simple loading matrices, little attention has been given to formally address the identifiability of these models beyond standard rotation-based identification such as the positive lower triangular (PLT ...
Sylvia Frühwirth-Schnatter, Darjus Hosszejni, Hedibert Freitas Lopes   +2 more
doaj   +1 more source

scCGImpute: An Imputation Method for Single-Cell RNA Sequencing Data Based on Similarities between Cells and Relationships among Genes

Applied Sciences, 2023
Single-cell RNA sequencing (scRNA-seq) has become a powerful technique to investigate cellular heterogeneity and complexity in various fields by revealing the gene expression status of individual cells. Despite the undeniable benefits of scRNA-seq, it is
Tiantian Liu, Yuanyuan Li
doaj   +1 more source

A Robust Denoised Algorithm Based on Hessian–Sparse Deconvolution for Passive Underwater Acoustic Detection

Journal of Marine Science and Engineering, 2023
Digital beamforming techniques find wide applications in the field of underwater acoustic array signal processing. However, their azimuthal resolution has long been constrained by the Rayleigh limit, consequently limiting their detection performance.
Fan Yin, Chao Li, Haibin Wang, Shihong Zhou, Leixin Nie, Yonglin Zhang, Hao Yin   +6 more
doaj   +1 more source

Tracking Target Signal Strengths on a Grid using Sparsity [PDF]

, 2011
Multi-target tracking is mainly challenged by the nonlinearity present in the measurement equation, and the difficulty in fast and accurate data association. To overcome these challenges, the present paper introduces a grid-based model in which the state
AK Jain, BN Vo, C Coue, CM Bishop, D Angelosante, D Angelosante, DE Clark, DE Clark, DP Bertsekas, DP Bertsekas, EJ Candes, G Taylor, HW Kuhn, JA Bazerque, K Mekhnacha, K Panta, K Panta, L Lin, M Tanaka, N Vaswani, O Erdinc, Q Ling, R Mahler, R Mahler, R Xu, S Blackman, S Farahmand, S Farahmand, S Nannuru, T Hastie, V Cevher, Y Bar-Shalom, Y Bar-Shalom   +32 more
core   +2 more sources

Antenna Array Calibration Using a Sparse Scene

IEEE Open Journal of Antennas and Propagation, 2021
In radar systems, antenna arrays acquire direction-dependent information to localize targets or create images of the environment. However, because of unknown complex amplitudes per channel and mutual coupling, a calibration is necessary for good ...
Johanna Geiss, Erik Sippel, Markus Hehn, Martin Vossiek   +3 more
doaj   +1 more source