Results 11 to 20 of about 4,563 (282)

The hardness of the independence and matching clutter of a graph [PDF]

open access: yesOpuscula Mathematica, 2016
A clutter (or antichain or Sperner family) \(L\) is a pair \((V,E)\), where \(V\) is a finite set and \(E\) is a family of subsets of \(V\) none of which is a subset of another.
Sasun Hambardzumyan   +3 more
doaj   +3 more sources

Edge Bundling in Information Visualization

open access: yesTsinghua Science and Technology, 2013
The edge, which can encode relational data in graphs and multidimensional data in parallel coordinates plots, is an important visual primitive for encoding data in information visualization research.
Hong Zhou   +3 more
doaj   +2 more sources

COMPARING IMAGE-BASED METHODS FOR ASSESSING VISUAL CLUTTER IN GENERALIZED MAPS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Map generalization abstracts and simplifies geographic information to derive maps at smaller scales. The automation of map generalization requires techniques to evaluate the global quality of a generalized map. The quality and legibility of a generalized
G. Touya   +3 more
doaj   +2 more sources

New algorithm for multi targets detection in clutter edge radar environments

open access: yesIndonesian Journal of Electrical Engineering and Computer Science, 2020
<p>This paper deals with the problem of multi target detection that appears inside clutter cloud which represent the worst radar environments by using constant false alarm rate CFAR algorithm, in order to achieve maximum probability of detection with constant false alarm rate, to detect target in such environments it need to construct robust ...
Mustafa Subhi Kamal, Jiwa Abdullah
openaire   +4 more sources

Land-sea Clutter Classification Method Based on Multi-channel Graph Convolutional Networks [PDF]

open access: yesLeida xuebao
Land-sea clutter classification is essential for boosting the target positioning accuracy of skywave over-the-horizon radar. This classification process involves discriminating whether each azimuth-range cell in the Range-Doppler (RD) map is overland or ...
Can LI   +3 more
doaj   +2 more sources

Transformer-Driven GAN for High-Fidelity Edge Clutter Generation with Spatiotemporal Joint Perception

open access: yesSymmetry
Accurate sea clutter modeling is crucial for clutter suppression in edge radar processing. On resource-constrained edge radar platforms, spatiotemporal statistics, together with device-level computation and memory limits, hinder the learning of representative clutter features. This study presents a transformer-based generative adversarial model for sea
Xiaoya Zhao   +8 more
openaire   +2 more sources

Cohen-Macaulay clutters with combinatorial optimization properties and parallelizations of normal edge ideals

open access: yesThe São Paulo Journal of Mathematical Sciences, 2009
Let C be a uniform clutter and let I=I(C) be its edge ideal. We prove that if C satisfies the packing property (resp. max-flow min-cut property), then there is a uniform Cohen-Macaulay clutter C1 satisfying the packing property (resp. max-flow min-cut property) such that C is a minor of C1.
Dupont, Luis A.   +2 more
openaire   +5 more sources

MW-UNet: Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data [PDF]

open access: yesBig Data Mining and Analytics
The field of weather forecasting makes extensive use of radar big data to extract information about precipitation, storms, lightning, and other weather phenomena to aid in the prediction and monitoring of weather changes.
Mengmeng Cui   +4 more
doaj   +2 more sources

Robust CFAR Detector With Ordered Statistic of Sub-Reference Cells in Multiple Target Situations

open access: yesIEEE Access, 2022
Herein, a robust constant false alarm rate (CFAR) detector with ordered statistic of sub-reference cells (OSS-CFAR) is proposed in multiple target situations. This detector can improve background level estimation and reduce computational complexity using
Taehee Jeong   +3 more
doaj   +1 more source

An Enhanced Image Patch Tensor Decomposition for Infrared Small Target Detection

open access: yesRemote Sensing, 2022
Infrared small-target detection is a key technology for the infrared search and track system (IRST), but some problems still exist, such as false detections in complex backgrounds and clutter.
Ziling Lu   +4 more
doaj   +1 more source

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