Singular Vector Perturbation Under Gaussian Noise [PDF]
We perform a non-asymptotic analysis on the singular vector distribution under Gaussian noise. In particular, we provide sufficient conditions on a matrix for its first few singular vectors to have near normal distribution. Our result can be used to facilitate the error analysis in linear dimension reduction.
Rongrong Wang
exaly +5 more sources
Universal Method for Detecting Violations in the Integrity of a Digital Image Based on Analysis of Blocks of its Matrix [PDF]
The requirement to provide the content expertise (particularly digital video) in real time is be-coming critical. Thus, the aim of the work is to increase the efficiency of identifying the fact of violation of image integrity by developing a universal ...
Bobok I., Kobozeva A.
doaj +1 more source
Development of a New Approach to the Problem of Detecting the Integrity Violations of a Digital Image [PDF]
The energy sector is an integral part of the critical infrastructure of any state and is particularly sensitive to the quality of information security systems.
Bobok I., Kobozeva A.
doaj +1 more source
A basis of common approach to the development of universal steganalysis methods for digital images
In this paper a new common approach to the organization of steganalysis in digital images is developed. New features of formal parameters defining the image are identified, theoretically grounded and practically tested.
Алла Анатоліївна Кобозєва
doaj +7 more sources
Holomorphic vector fields tangent to foliations in dimension three
We consider a singular holomorphic vector field in a neighborhood of 0 ∈ C 3and suppose that there is a singular holomorphic foliation of codimension one (outside its singular set, given by a holomorphic decomposition of this neighborhood into ...
DANÚBIA JUNCA, ROGÉRIO MOL
doaj +1 more source
Singular Vectors From Singular Values
8 ...
Weiwei Xu, Michael K. Ng 0001
openaire +2 more sources
Dimensionality reduction using singular vectors [PDF]
AbstractA common problem in machine learning and pattern recognition is the process of identifying the most relevant features, specifically in dealing with high-dimensional datasets in bioinformatics. In this paper, we propose a new feature selection method, called Singular-Vectors Feature Selection (SVFS).
Majid Afshar, Hamid Usefi
openaire +3 more sources
Ensemble singular vectors and their use as additive inflation in EnKF [PDF]
Given an ensemble of forecasts, it is possible to determine the leading ensemble singular vector (ESV), that is, the linear combination of the forecasts that, given the choice of the perturbation norm and forecast interval, will maximise the growth of ...
Shu-Chih Yang +2 more
doaj +1 more source
Singularity Problem for Interacting Massive Vectors
Interacting massive spin-1 fields have been widely used in cosmology and particle physics. We obtain a new condition on the validity of the classical limit of these theories related to the non-trivial constraints that exist for vector field components.
Zong-Gang Mou, Hong-Yi Zhang
openaire +3 more sources
Enhanced Root-MUSIC Algorithm Based on Matrix Reconstruction for Frequency Estimation
In recent years, frequency-modulated continuous wave (FMCW) radar has been widely used in automatic driving, settlement monitoring and other fields. The range accuracy is determined by the estimation of the signal beat frequency.
Yingjie Zhu +3 more
doaj +1 more source

