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» Measuring independence of datasets
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NECO
2011
14 years 7 months ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
MMDB
2004
ACM
153views Multimedia» more  MMDB 2004»
15 years 6 months ago
A PCA-based similarity measure for multivariate time series
Multivariate time series (MTS) datasets are common in various multimedia, medical and financial applications. We propose a similarity measure for MTS datasets, Eros (Extended Fro...
Kiyoung Yang, Cyrus Shahabi
ALT
2005
Springer
15 years 9 months ago
Measuring Statistical Dependence with Hilbert-Schmidt Norms
Abstract. We propose an independence criterion based on the eigenspectrum of covariance operators in reproducing kernel Hilbert spaces (RKHSs), consisting of an empirical estimate ...
Arthur Gretton, Olivier Bousquet, Alex J. Smola, B...
99
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FQAS
2004
Springer
126views Database» more  FQAS 2004»
15 years 6 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
123
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AVBPA
2005
Springer
296views Biometrics» more  AVBPA 2005»
15 years 6 months ago
Exploring Similarity Measures for Biometric Databases
Currently biometric system performance is evaluated in terms of its FAR and FRR. The accuracy expressed in such a manner depends on the characteristics of the dataset on which the ...
Praveer Mansukhani, Venu Govindaraju