Results 31 to 40 of about 156,394 (276)

Counterexample to an additivity conjecture for output purity of quantum channels [PDF]

open access: yes, 2002
A conjecture arising naturally in the investigation of additivity of classical information capacity of quantum channels states that the maximal purity of outputs from a quantum channel, as measured by the p-norm, should be multiplicative with respect to ...
A. S. Holevo   +3 more
core   +2 more sources

Infrared Patch-Tensor Model With Weighted Tensor Nuclear Norm for Small Target Detection in a Single Frame

open access: yesIEEE Access, 2018
The robust and efficient detection of infrared small target is a key technique for infrared search and track systems. Several robust principal component analysis (RPCA)-based methods have been developed recently, which have achieved the state-of-the-art ...
Yang Sun   +4 more
doaj   +1 more source

Natural symmetric tensor norms

open access: yesJournal of Mathematical Analysis and Applications, 2012
22 ...
Carando, D., Galicer, D.
openaire   +5 more sources

Nonconvex Low Tubal Rank Tensor Minimization

open access: yesIEEE Access, 2019
In the sparse vector recovery problem, the L0-norm can be approximated by a convex function or a nonconvex function to achieve sparse solutions. In the low-rank matrix recovery problem, the nonconvex matrix rank can be replaced by a convex function or a ...
Yaru Su, Xiaohui Wu, Genggeng Liu
doaj   +1 more source

Spatiotemporal traffic data imputation via tensorial weighted Schatten‐p norm minimization

open access: yesIET Intelligent Transport Systems, 2022
Spatiotemporal traffic data exhibit multi‐granular low‐rank structure due to their periodicity among different timelines. Traditional low rank data completion methods fail to characterize such properties and produce unsatisfactory results for data ...
Shaofan Wang   +4 more
doaj   +1 more source

Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
To exploit the spectral-spatial information of hyperspectral image (HSI) and achieve higher the detection accuracy, a novel multiple spectral-spatial representation based on tensor decomposition method is proposed for HSI anomaly detection (AD) in this ...
Yujian Wang   +5 more
doaj   +1 more source

Multipartite Entanglement Detection Via Projective Tensor Norms

open access: yesAnnales Henri Poincaré, 2022
We introduce and study a class of entanglement criteria based on the idea of applying local contractions to an input multipartite state, and then computing the projective tensor norm of the output. More precisely, we apply to a mixed quantum state a tensor product of contractions from the Schatten class $S_1$ to the Euclidean space $\ell_2$, which we ...
Jivulescu, Maria Anastasia   +2 more
openaire   +5 more sources

Infrared Small Target Detection via Non-Convex Tensor Rank Surrogate Joint Local Contrast Energy

open access: yesRemote Sensing, 2020
Small target detection is a crucial technique that restricts the performance of many infrared imaging systems. In this paper, a novel detection model of infrared small target via non-convex tensor rank surrogate joint local contrast energy (NTRS) is ...
Xuewei Guan   +3 more
doaj   +1 more source

Tensor Completion Using Spectral $(k,p)$ -Support Norm

open access: yesIEEE Access, 2018
In this paper, the goal is to reconstruct a tensor, i.e., a multi-dimensional array, when only subsets of its entries are observed. For well-posedness, the tensor is assumed to have a low-Tucker-rank structure.
Dongxu Wei   +3 more
doaj   +1 more source

Cirrus Detection Based on Tensor Multi-Mode Expansion Sum Nuclear Norm in Infrared Imagery

open access: yesIEEE Access, 2020
Infrared small target detection systems are an important part of space infrared imaging satellites. However, small infrared target detection is often affected by cirrus false alarm sources with similar grayscales.
Chunping Yang   +3 more
doaj   +1 more source

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