Results 21 to 30 of about 4,563 (282)

Binomial edge ideals of Clutters

open access: yes, 2021
In this paper, we introduce the notion of binomial edge ideals of a clutter and obtain results similar to those obtained for graphs by Rauf \& Rinaldo in \cite{raufrin}. We also answer a question posed in their paper.
Saha, Kamalesh, Sengupta, Indranath
openaire   +2 more sources

Linear strands of edge ideals of multipartite uniform clutters [PDF]

open access: yesJournal of Pure and Applied Algebra, 2021
We construct the first linear strand of the minimal free resolutions of edge ideals of $d$-partite $d$-uniform clutters. We show that the first linear strand is supported on a relative simplicial complex. In the case that the edge ideals of such clutters have linear resolutions, we give an explicit and surprisingly simple description of their minimal ...
openaire   +3 more sources

Extraction of line segments in cluttered images via multiscale edges [PDF]

open access: yes2013 IEEE International Conference on Image Processing, 2013
Current methods for line segment extraction often fail in challenging scenarios that abound in real-life images, e.g., those containing corrupted lines, of various widths, with multiple crossings, and immersed in clutter. We propose a method that tackles these issues by combining multiscale edges while taking line segment connectivity into account.
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
openaire   +1 more source

Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach [PDF]

open access: yes, 2021
Edge bundling techniques cluster edges with similar attributes (i.e. similarity in direction and proximity) together to reduce the visual clutter. All edge bundling techniques to date implicitly or explicitly cluster groups of individual edges, or parts ...
Daniel Archambault
core   +1 more source

Infrared Small Target Detection Based on Gradient-Intensity Joint Saliency Measure

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Small target detection is an arduous mission in the infrared search and tracking system, especially when the target signal is disturbed by high-intensity background clutters.
Yongsong Li   +3 more
doaj   +1 more source

Joint Constraint Based on γ-Norm and TV-Sparse for Infrared Dim Small Target Detection [PDF]

open access: yesHangkong bingqi, 2022
Aiming at the problem that the ability of infrared dim small target detection algorithm based on traditional infrared patchimage (IPI) model to suppress background clutter is not strong, a new detection model (γ-TSIPI) based on γ-norm ...
Wang Xiaowen, Li Qiao, Xue Wei, Zhong Ping
doaj   +1 more source

A crowding model of visual clutter. [PDF]

open access: yes, 2009
Visual information is difficult to search and interpret when the density of the displayed information is high or the layout is chaotic. Visual information that exhibits such properties is generally referred to as being "cluttered." Clutter should be ...
Roerdink, JBTM   +3 more
core   +2 more sources

Image Enhancement-Based Detection with Small Infrared Targets

open access: yesRemote Sensing, 2022
Today, target detection has an indispensable application in various fields. Infrared small-target detection, as a branch of target detection, can improve the perception capability of autonomous systems, and it has good application prospects in infrared ...
Shuai Liu, Pengfei Chen, Marcin Woźniak
doaj   +1 more source

EOD Edge Sampling for Visualizing Dynamic Network via Massive Sequence View

open access: yesIEEE Access, 2018
Dynamic network visualization is crucial to understand network evolving behavior. Massive sequence view (MSV) is a classic technique for visualizing dynamic networks and provides users with a fine-grained presentation of time-varying communication trend ...
Ying Zhao   +7 more
doaj   +1 more source

Optimized edge-based grasping method for a cluttered environment

open access: yesCoRR, 2018
This paper looks into the problem of grasping region localization along with suitable pose from a cluttered environment without any a priori knowledge of the object geometry. This end-to-end method detects the handles from a single frame of input sensor.
Olyvia Kundu, Swagat Kumar
openaire   +2 more sources

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