Results 31 to 40 of about 137,938 (302)
, 2013 With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui +3 more
core +1 more source
Spectral operator representations
npj Computational MaterialsMachine learning in atomistic materials science has grown to become a powerful tool, with most approaches focusing on atomic arrangements, typically decomposed into local atomic environments. This approach, while well-suited for machine-learned interatomic potentials, is conceptually at odds with learning complex intrinsic properties of materials ...
Austin Zadoks +2 more
openaire +5 more sources
The Spectral Rrepresentation of a Discrete Version of Blackwell’s Markov Chain
EntropyWe consider a Markov chain that can be termed a discrete version of Blackwell’s example from 1958. It is constructed with the aid of a sequence of independent Markov chains with two states. It turns out its stationary distribution π and transition matrix
Ernest Nieznaj
doaj +1 more source
Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank Sparse Representation
Remote Sensing, 2022 The enormous amount of data that are generated by hyperspectral remote sensing images (HSI) combined with the spatial channel’s limited and fragile bandwidth creates serious transmission, storage, and application challenges.
Shicheng Xie +3 more
doaj +1 more source
Spectral representation of thermal OTO correlators
Journal of High Energy Physics, 2019 We study the spectral representation of finite temperature, out of time ordered (OTO) correlators on the multi-time-fold generalised Schwinger-Keldysh contour.
Soumyadeep Chaudhuri +2 more
doaj +1 more source
Joint Sparse Representation Hyperspectral Image Classification Based on Independent Space-spectrum Residual Fusion [PDF]
Jisuanji gongcheng, 2019 Aiming at the problem of spatial information and spectral information fusion in hyperspectral image classification,a joint sparse representation hyperspectral image classification algorithm based on independent space-spectrum residual fusion is proposed ...
LU Jia,BAO Wenxing
doaj +1 more source
Graph Spectral Domain Shape Representation [PDF]
2018 26th European Signal Processing Conference (EUSIPCO), 2018 One of the major challenges in shape matching is recognising and interpreting the small variations in objects that are distinctly similar in their global structure, as in well known ETU10 silhouette dataset and the Tool dataset. The solution lies in modelling these variations with numerous precise details.
Alwaely, B., Abhayaratne, C.
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli +3 more
wiley +1 more source
Remote Sensing, 2019 Dimensionality reduction is of great importance which aims at reducing the spectral dimensionality while keeping the desirable intrinsic structure information of hyperspectral images. Tensor analysis which can retain both spatial and spectral information
Jinliang An +4 more
doaj +1 more source