نتایج جستجو برای: decomposing intensity matrix
تعداد نتایج: 547156 فیلتر نتایج به سال:
Graph pooling is a crucial operation for encoding hierarchical structures within graphs. Most existing graph approaches formulate the problem as node clustering task which effectively captures topology. Conventional methods ask users to specify an appropriate number of clusters hyperparameter, then assuming that all input graphs share same clusters. In inductive settings where could vary, howev...
Matrix decomposition is a popular and fundamental approach in machine learning data mining. It has been successfully applied into various fields. Most matrix methods focus on decomposing from one single source. However, it common that are different sources with heterogeneous noise. A few of the have extended for such multi-view integration pattern discovery while only were designed to consider ...
Decomposing a 3D mesh into significant regions is considered as a fundamental process in computer graphics, since several algorithms use the segmentation results as an initial step, such as, skeleton extraction, shape retrieval, shape correspondence, and compression. In this work, we present a new segmentation algorithm using spectral clustering where the affinity matrix is constructed by combi...
Trust has been used to replace or complement ratingbased similarity in recommender systems, to improve the accuracy of rating prediction. However, people trusting each other may not always share similar preferences. In this paper, we try to fill in this gap by decomposing the original single-aspect trust information into four general trust aspects, i.e. benevolence, integrity, competence, and p...
Background: The extracellular matrix is a complex three-dimensional network of proteins and glycosaminoglycans, which have important roles in cellular physiology and cell-cell and cell-extracellular matrix interactions. Any changes in the extracellular matrix of tumors may be implicated in cellular transformation and metastasis. The aim of the present study was to identify changes in the hyalur...
Cross Tensor Approximation (CTA) is a generalization of Cross/skeleton matrix and CUR Matrix (CMA) suitable tool for fast low-rank tensor approximation. It facilitates interpreting the underlying data tensors decomposing/compressing in such way that their structures as nonnegativity, smoothness, or sparsity can be potentially preserved. In this paper, we review extend state-of-the-art determini...
in the present investigation, the cyclic load deformation behaviour of soil-fly ash layered system isstudied using different intensities of failure load (i = 25%, 50% and 75%) with varying number of cycles (n =10, 50 and 100). an attempt has been made to establish the use of fly ash as a fill material for embankments ofhighways and railways and to examine the effect of cyclic loading on the lay...
This paper investigated the problem of decentralized robust stabilization for a class of uncertain nonlinear descriptor similar large-scale composite systems with input saturation. Based on decomposing theory of large-scale systems, Lyapunov stable theory and matrix theory, a kind of decentralized robust stabilization controller is designed which ensures asymptotic stability of the closed-loop ...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید