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HIS
2008
13 years 11 months ago
Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
This paper addresses the application of a PCA analysis on categorical data prior to diagnose a patients data set using a Case-Based Reasoning (CBR) system. The particularity is th...
Carles Pous, Dani Caballero, Beatriz López
ICONIP
2007
13 years 11 months ago
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, Liqi...
CIT
2004
Springer
14 years 1 months ago
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform
Abstract. In this paper we introduce BioPubMiner, a machine learning component-based platform for biomedical information analysis. BioPubMiner employs natural language processing t...
Jae-Hong Eom, Byoung-Tak Zhang
HICSS
2011
IEEE
238views Biometrics» more  HICSS 2011»
13 years 1 months ago
Smoking Behavior and Friendship Formation: The Importance of Time Heterogeneity in Studying Social Network Dynamics
—This study illustrates the importance of assessing and accounting for time heterogeneity in longitudinal social network analysis. We apply the time heterogeneity model selection...
Joshua Alfred Lospinoso, Danielle J. Satchell
CVPR
2003
IEEE
15 years 3 days ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma