Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
d Abstract) Luboˇs Brim and Jiˇr´ı Barnat Faculty of Informatics, Masaryk University, Brno, Czech Republic With the increase in the complexity of computer systems, it becomes e...
Abstract. This paper presents a brief tutorial and background on implementing filter banks for spectrum sensing. It discusses the advantages of this approach over standard FFT-base...
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...