Results 61 to 70 of about 145,037 (166)

Singular-Value-Decomposition-Based Matrix Surgery

Entropy
This paper is motivated by the need to stabilise the impact of deep learning (DL) training for medical image analysis on the conditioning of convolution filters in relation to model overfitting and robustness. We present a simple strategy to reduce square matrix condition numbers and investigate its effect on the spatial distributions of point clouds ...
Jehan Ghafuri, Sabah Jassim
openaire   +4 more sources

GENERALIZED MATRIX DECOMPOSITION REGRESSION: ESTIMATION AND INFERENCE FOR TWO-WAY STRUCTURED DATA. [PDF]

Ann Appl Stat, 2023
Wang Y, Shojaie A, Randolph T, Knight P, Ma J.   +4 more
europepmc   +1 more source

Multivariate Analyses with Two-Step Dimension Reduction for an Association Study Between ¹¹C-Pittsburgh Compound B and Magnetic Resonance Imaging in Alzheimer’s Disease

Bioengineering
The neuropathological diagnosis of Alzheimer’s disease (AD) relies on amyloid beta (Aβ) deposition in brain tissues. To study the relationship between Aβ deposition and brain structure, as determined using 11C-Pittsburgh compound B (PiB) and magnetic ...
Atsushi Kawaguchi, Fumio Yamashita
doaj   +1 more source

Parameter-Free Matrix Decomposition for Specular Reflections Removal in Endoscopic Images. [PDF]

IEEE J Transl Eng Health Med, 2023
Joseph J, George SN, Raja K.
europepmc   +1 more source

SICGNN: structurally informed convolutional graph neural networks for protein classification

Machine Learning: Science and Technology
Recently, graph neural networks (GNNs) have been widely used in various domains, including social networks, recommender systems, protein classification, molecular property prediction, and genetic networks.
YongHyun Lee, Eunchan Kim, Jiwoong Choi, Changhyun Lee   +3 more
doaj   +1 more source

Mining algorithm of accumulation sequence of unbalanced data based on probability matrix decomposition. [PDF]

PLoS One, 2023
Mou S, Zhang H.
europepmc   +1 more source

Matrix-qubit algorithm for semantic analysis of probabilistic data

Моделирование и анализ информационных систем
The paper presents a method for semantic data analysis by means of complex-valued matrix decomposition. The method is based on the quantum model of contextual decision-making, according to which observable probabilities are generated by qubit states ...
Ilya A. Surov
doaj   +1 more source

Sparse Matrix Decompositions For Clustering

, 2014
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
openaire   +2 more sources

Weighted Matrix Decomposition for Small Surface Defect Detection. [PDF]

Micromachines (Basel), 2022
Zhong Z, Wang H, Xiang D.
europepmc   +1 more source

Movie recommendation model based on probabilistic matrix decomposition using hybrid AdaBoost integration. [PDF]

PeerJ Comput Sci, 2023
Zhang Z, Wu Q, Zhang Y, Liu L.
europepmc   +1 more source