Although machine learning on hypergraphs has attracted considerable attention, most of the works have focused (semi-)supervised learning, which may cause heavy labeling costs and poor generalization. Recently, contrastive emerged as a successful unsupervised representation method. Despite prosperous development in other domains, remains little explored. In this paper, we propose TriCL (Tri-dire...

the non-differentiability and implicit definition of boundary of production possibility set (pps) in data envelopment analysis (dea) are two important difficulties for obtaining directional characteristics, including different elasticity measures and marginal rates of substitution. also, imposing weight restrictions in dea models have some shortcomings and misunderstandings. in this paper we ut...

Connected component labeling is an important but computationally expensive operation required in many fields of research. The goal in the present work is to label connected components on a 2D binary map. Two different iterative algorithms for doing this task are presented. The first algorithm (Row–Col Unify) is based upon the directional propagation labeling, whereas the second algorithm uses t...

for a given graph $g=(v,e)$, let $mathscr l(g)={l(v) : vin v}$ be a prescribed list assignment. $g$ is $mathscr l$-$l(2,1)$-colorable if there exists a vertex labeling $f$ of $g$ such that $f(v)in l(v)$ for all $v in v$; $|f(u)-f(v)|geq 2$ if $d_g(u,v) = 1$; and $|f(u)-f(v)|geq 1$ if $d_g(u,v)=2$. if $g$ is $mathscr l$-$l(2,1)$-colorable for every list assignment $mathscr l$ with $|l(v)|geq k$ ...

In this paper we generalize the remainder cordial labeling, called $k$-remainder cordial labeling and investigate the $4$-remainder cordial labeling behavior of certain graphs.

background: bombesin shows high affinity for gastrin-releasing peptide (grp) receptors which over expressed on the cell surfaces of several human tumors particularly in prostate and breast cancers. the aim of this study was labeling of designed analogue with99mtc via hynic and tricine /edda and evaluation as potential targeted tumor scintigraphic agent.materials and methods: hynic-bombesin was ...

Automatic glia reconstruction is essential for the dynamic analysis of microglia motility and morphology, notably so in research on neurodegenerative diseases. In this paper, we propose an automatic 3D tracing algorithm called C3VFC that uses vector field convolution to find critical points along centerline object trace paths traverse back soma every cell image. The solution provides detection ...

The use of context information is an important aid for full semantic scene understanding in security and surveillance applications. This paper presents an innovative semantic context-labeling algorithm for three context classes – water, sky and vegetation – while trading-off quality and real-time execution. Our system consists of three consecutive stages: image segmentation, region-based featur...

Connected component labeling (CCL) is a key step in image segmentation where foreground pixels are extracted and labeled. Sequential CCL is a computationally expensive operation and thus is often done within parallel processing framework to reduce execution time. Various parallel CCL methods have been proposed in the literature. Among them NSZ label equivalence (NSZ-LE) method seemed to perform...