نتایج جستجو برای: Spectral Clustering
تعداد نتایج: 262777 فیلتر نتایج به سال:
Abstract: Due to the growth of digital images require efficient methods to annotate the images is sense. In this paper, a semi-supervised spectral clustering with relevance feedback is used to annotate digital photos which is overcome the local minima problem on clustering methods by using some labeled information given by users. Performance of the proposed method is tested on Corel 5K dataset ...
Spectral clustering is a powerful unsupervised machine learning algorithm for data with non convex or nested structures. With roots in graph theory, it uses the spectral properties of Laplacian matrix to project low-dimensional space where more efficient. Despite its success tasks, suffers practice from fast-growing running time $O(n^3)$, $n$ number points dataset. In this work we propose an en...
Spectral unmixing of hyperspectral images is one of the most important research fields in remote sensing. Recently, the direct use of spectral libraries in spectral unmixing is on increase. In this way which is called sparse unmixing, we do not need an endmember extraction algorithm and the number determination of endmembers priori. Since spectral libraries usually contain highly correlated s...
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