Results 51 to 60 of about 240,751 (277)

Low Complexity Modeling of Cross-Spectral Matrix and Its Application in the Non-Synchronous Measurements of Microphones Array

IEEE Access, 2021
The resolution related with the image quality of acoustic imaging using a microphone array is limited by the size and density of the array. However, non-synchronous measurements can exceed the constraints defined by measurements with a single fixed array.
Liang Yu, Yi Fan, Ning Chu, Qian Huang, Yue Ning, Peng Hou   +5 more
doaj   +1 more source

Flatness of the nuclear norm sphere, simultaneous polarization, and uniqueness in nuclear norm minimization

, 2022
In this paper we establish necessary and sufficient conditions for the existence of line segments (or flats) in the sphere of the nuclear norm via the notion of simultaneous polarization and a refined expression for the subdifferential of the nuclear norm.
Hoheisel, Tim, Paquette, Elliot
openaire   +2 more sources

A Non-Convex Relaxation for Fixed-Rank Approximation

, 2017
This paper considers the problem of finding a low rank matrix from observations of linear combinations of its elements. It is well known that if the problem fulfills a restricted isometry property (RIP), convex relaxations using the nuclear norm ...
Bylow, Erik, Carlsson, Marcus, Olsson, Carl   +2 more
core   +1 more source

Framing Norm Through Riskification: The International Campaign to Abolish Nuclear Weapons and the Anti-Nuclear Weapons Norm

Journal for Peace and Nuclear Disarmament
This article combines research strands on international norms, framing, and riskification to elaborate the framing methods used by the International Campaign to Abolish Nuclear Weapons (ICAN) to effect an anti-nuclear weapons norm around the Treaty for ...
Christian Harijanto
doaj   +1 more source

Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm

, 2015
The nuclear norm is widely used as a convex surrogate of the rank function in compressive sensing for low rank matrix recovery with its applications in image recovery and signal processing.
Lin, Zhouchen, Lu, Canyi, Tang, Jinhui, Yan, Shuicheng   +3 more
core   +1 more source

A cross‐project defect prediction method based on multi‐adaptation and nuclear norm

IET Software, 2022
Cross‐project defect prediction (CPDP) is an important research direction in software defect prediction. Traditional CPDP methods based on hand‐crafted features ignore the semantic information in the source code.
Qingan Huang, Le Ma, Siyu Jiang, Guobin Wu, Hengjie Song, Libiao Jiang, Chunyun Zheng   +6 more
doaj   +1 more source

An iterative thresholding-based algorithm for brain–computer interface (BCI) application

Scientific African, 2023
The EEG signals are recorded using surgical (invasive) or non-surgical (non-invasive) BCI neuroimaging modalities. Basically, we are dealing with a huge amount of data and long signal recordings.The classic solution to deal with the huge amount of data ...
Djerassembe Laouhingamaye Frédéric, Awatif Rouijel, Lahsen-Cherif Iyad, Hassan Elghazi   +3 more
doaj   +1 more source

Geometry of factored nuclear norm regularization

, 2017
This work investigates the geometry of a nonconvex reformulation of minimizing a general convex loss function $f(X)$ regularized by the matrix nuclear norm $\|X\|_*$. Nuclear-norm regularized matrix inverse problems are at the heart of many applications in machine learning, signal processing, and control.
Li, Qiuwei, Zhu, Zhihui, Tang, Gongguo
openaire   +3 more sources

Robust Subspace Clustering via Smoothed Rank Approximation

, 2015
Matrix rank minimizing subject to affine constraints arises in many application areas, ranging from signal processing to machine learning. Nuclear norm is a convex relaxation for this problem which can recover the rank exactly under some restricted and ...
Cheng, Qiang, Kang, Zhao, Peng, Chong
core   +1 more source

Nanocrystalline SEM image restoration based on fractional-order TV and nuclear norm

Electronic Research Archive
To obtain high-quality nanocrystalline scanning electron microscopy (SEM) images, this paper proposed a Poisson denoising model that combined the fractional-order total variation (TV) and nuclear norm regularizers.
Ruini Zhao
doaj   +1 more source