Detail Applications of Entropic Spanning Graphs   Oleh:  Hero III, A. O. ; Ma, Bing ; Michel, O. J. J. ; Gorman, J. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Signal Processing Magazine vol. 19 no. 5 (2002), page 85-95. Topik: IMAGE; applications; entropic; spanning graphs Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: SS26.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel This article presents applications of entropic spanning graphs to imaging and feature clustering applications. Entropic spanning graphs span a set of feature vectors in such a way that the normalized spanning length of the graph converges to the entropy of the feature distribution as the number of random feature vectors increases. This property makes these graphs naturally suited to applications where entropy and information divergence are used as discriminants : texture classification, feature clustering, image indexing, and image registration. Among other areas, these problems arise in geographical information systems, digital libraries, medical information processing, video indexing, multisensor fusion, and content - based retrieval. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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