Starting with Tukey's pioneering work in the 1970s, notion of depth statistics has been widely extended, especially last decade. Such extensions include those to high-dimensional data, functional and manifold-valued data. In particular, learning paradigm, depth-depth method become a useful technique. this article, we extend lens case data metric spaces study its main properties. We also introdu...

Among Generation, Transmission and Distribution systems of power 80-90 % faults occur in transmission lines. A small electricity interruption or disturbances can cause major problems Major lines because environmental events like high temperatures, animals, wind, etc also faulty devices connected to are a for these faults. In modern line one the significant leading losses electrical failure. So,...

Recently, graph neural networks for semi-supervised classification have been widely studied. However, existing methods only use the information of limited neighbors and do not deal with inter-class connections in graphs. In this paper, we propose Adaptive aggregation Class-Attentive Diffusion (AdaCAD), a new scheme that adaptively aggregates nodes probably same class among K-hop neighbors. To e...

The Universum data, defined as a collection of ”nonexamples” that do not belong to any class of interest, have been shown to encode some prior knowledge by representing meaningful concepts in the same domain as the problem at hand. In this paper, we address a novel semi-supervised classification problem, called semi-supervised Universum, that can simultaneously utilize the labeled data, unlabel...

Recent advances in DNA sequencing technology have allowed the collection of high-dimensional data from human-associated microbial communities on an unprecedented scale. A major goal of these studies is the identification of important groups of microorganisms that vary according to physiological or disease states in the host, but the incidence of rare taxa and the large numbers of taxa observed ...

the preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. but today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. ...