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TNN
2008
128views more  TNN 2008»
13 years 7 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
WWW
2003
ACM
14 years 8 months ago
On the bursty evolution of blogspace
We propose two new tools to address the evolution of hyperlinked corpora. First, we define time graphs to extend the traditional notion of an evolving directed graph, capturing li...
Ravi Kumar, Jasmine Novak, Prabhakar Raghavan, And...
TIP
2011
162views more  TIP 2011»
13 years 2 months ago
Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
Allan Aasbjerg Nielsen
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 9 months ago
Financial Time Series Segmentation based on Specialized Binary Tree Representation
Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
Tak-Chung Fu, Fu-Lai Chung, Chak-man Ng
COR
2008
124views more  COR 2008»
13 years 8 months ago
Max-min fairness in multi-commodity flows
In this paper, we provide a study of Max-Min Fair (MMF) multicommodity flows and focus on some of their applications to multi-commodity networks. We first present the theoretical ...
Dritan Nace, Nhat Linh Doan, Olivier Klopfenstein,...