Results 51 to 60 of about 1,409,223 (260)
Hyperspectral Anomaly Detection via Sparse Dictionary Learning Method of Capped Norm
IEEE Access, 2019 Hyperspectral anomaly detection is a research hot spot in the field of remote sensing. It can distinguish abnormal targets from the scene just by utilizing the spectral differences and requiring no prior information.
Yuan Yuan, Dandan Ma, Qi Wang
doaj +1 more source
Algorithms, 2018 Cosine-modulated filter banks play a major role in digital signal processing. Sparse FIR filter banks have lower implementation complexity than full filter banks, while keeping a good performance level.
Wei Xu +4 more
doaj +1 more source
Sparse thalamocortical convergence
Current Biology, 2021 How many thalamic neurons converge onto a cortical cell? This is an important question, because the organization of thalamocortical projections can influence the cortical architecture.1,2 Here, we estimate the degree of thalamocortical convergence in primary visual cortex by taking advantage of the cortical expansion-neurons within a restricted volume ...
openaire +4 more sources
Mechanisms of parasite‐mediated disruption of brain vessels
FEBS Letters, EarlyView.Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
Scalable Low Power Accelerator for Sparse Recurrent Neural Network
天地一体化信息网络, 2023 The use of edge computing devices in bank outlets for passenger flow analysis, security protection, risk prevention and control is increasingly widespread, among which the performance and power consumption of AI reasoning chips have become a very ...
Panshi JIN +5 more
doaj
Henneberg constructions and covers of cone-Laman graphs [PDF]
, 2012 We give Henneberg-type constructions for three families of sparse colored graphs arising in the rigidity theory of periodic and other forced symmetric frameworks.
Theran, Louis
core
Jump-sparse and sparse recovery using Potts functionals
, 2014 We recover jump-sparse and sparse signals from blurred incomplete data corrupted by (possibly non-Gaussian) noise using inverse Potts energy functionals.
Demaret, Laurent +2 more
core +1 more source
Stabilized Sparse Online Learning for Sparse Data
, 2016 45 pages, 4 ...
Ma, Yuting, Zheng, Tian
openaire +3 more sources
Sparse Quantile Regression [PDF]
Journal of Econometrics, 2020 We consider both $\ell _{0}$-penalized and $\ell _{0}$-constrained quantile regression estimators. For the $\ell _{0}$-penalized estimator, we derive an exponential inequality on the tail probability of excess quantile prediction risk and apply it to obtain non-asymptotic upper bounds on the mean-square parameter and regression function estimation ...
Lee, Sokbae (Simon), Chen, Le-Yu
openaire +3 more sources
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source