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ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
13 years 10 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
CSDA
2008
115views more  CSDA 2008»
13 years 4 months ago
Complex-valued ICA based on a pair of generalized covariance matrices
It is shown that any pair of scatter and spatial scatter matrices yields an estimator of the separating matrix for complex-valued independent component analysis (ICA). Scatter (re...
Esa Ollila, Hannu Oja, Visa Koivunen
IJCNN
2006
IEEE
13 years 10 months ago
Generalizing Independent Component Analysis for Two Related Data Sets
— We introduce in this paper methods for finding mutually corresponding dependent components from two different but related data sets in an unsupervised (blind) manner. The basi...
Juha Karhunen, Tomas Ukkonen
EGC
2009
Springer
13 years 2 months ago
Discrepancy Analysis of Complex Objects Using Dissimilarities
Abstract. In this article we consider objects for which we have a matrix of dissimilarities and we are interested in their links with covariates. We focus on state sequences for wh...
Matthias Studer, Gilbert Ritschard, Alexis Gabadin...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 5 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...