نتایج جستجو برای: label energy of graph
تعداد نتایج: 21252948 فیلتر نتایج به سال:
many mobile and off-grid devices include electronics and other electrical consumers like servo drives, which need a quite low supply power. since the price for photovoltaic modules drops continuously, photovoltaic power supply is interesting in more and more applications. in solar powered systems, a battery is needed to store energy for the night and cloudy periods. the power electronics of suc...
section{introduction} the concept of {sl cartan geometry} appeared at the beginning of the twentieth century, when {e}lie cartan was working on the so-called {sl equivalence problem}, the aim of which is to determine whether two given geometric structures can be mapped bijectively onto each other by some diffeomorphism. this problem can be considered in many different contexts, such as ...
Recent studies have shown that graph-based approaches are effective for semi-supervised learning. The key idea behind many graph-based approaches is to enforce the consistency between the class assignment of unlabeled examples and the pairwise similarity between examples. One major limitation with most graph-based approaches is that they are unable to explore dissimilarity or negative similarit...
Label propagation (LP) is a popular graph-based semi-supervised learning framework. Its effectiveness limited by the distribution of prior labels. If there are no objects with labels in parts classes, label has very poor performance. To address this issue, we propose based on bipartite graph (LPBBG) algorithm. This approach try to learn as exemplar constraints that reflect relations between and...
Graph classification is a critical research problem in many applications from different domains. In order to learn graph model, the most widely used supervision component an output layer together with loss (e.g., cross-entropy softmax or margin loss). fact, discriminative information among instances are more fine-grained, which can benefit tasks. this paper, we propose novel Label Contrastive C...
the unitary cayley graph xn has vertex set zn = {0, 1,…, n-1} and vertices u and v areadjacent, if gcd(uv, n) = 1. in [a. ilić, the energy of unitary cayley graphs, linear algebraappl. 431 (2009) 1881–1889], the energy of unitary cayley graphs is computed. in this paperthe wiener and hyperwiener index of xn is computed.
With the increase of multi-view graph data, clustering (MVGC) that can discover hidden clusters without label supervision has attracted growing attention from researchers. Existing MVGC methods are often sensitive to given graphs, especially influenced by low quality i.e., they tend be limited homophily assumption. However, widespread real-world data hardly satisfy This gap limits performance e...
Buildings are one of the main pillars of economic and social development of countries that consume a large part of energy and natural resources. The purpose of writing this article is to calculate the energy consumption of a building in one year, determine the energy label and then optimize some of its features in order to reduce construction costs and reduce energy consumption of the operation...
cement is an essential ingredient in the concrete buildings. for production of cement considerable amount of fossil fuel and electrical energy is consumed. on the other hand for generating one tone of portland cement, nearly one ton of carbon dioxide is released. it shows that 7 percent of the total released carbon dioxide in the world relates to the cement industry. considering ecological issu...
This paper presents a new class of moves, called α-expansioncontraction, which generalizes α-expansion graph cuts for multi-label energy minimization problems. The new moves are particularly useful for optimizing the assignments in model fitting frameworks whose energies include Label Cost (LC), as well as Markov Random Field (MRF) terms. These problems benefit from the contraction moves’ great...
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