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CCE
2007
14 years 9 months ago
A systematic approach for soft sensor development
This paper presents a systematic approach based on robust statistical techniques for development of a data-driven soft sensor, which is an important component of the process analy...
Bao Lin, Bodil Recke, Jørgen K. H. Knudsen,...
IDA
2009
Springer
14 years 7 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
80
Voted
ICA
2007
Springer
15 years 1 months ago
Compact Representations of Market Securities Using Smooth Component Extraction
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...
80
Voted
ISCAS
2003
IEEE
201views Hardware» more  ISCAS 2003»
15 years 3 months ago
A regularized simultaneous autoregressive model for texture classification
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...
Yao-wei Wang, Yan-fei Wang, Wen Gao, Yong Xue
ICIP
2000
IEEE
15 years 11 months ago
Clustered Component Analysis for FMRI Signal Estimation and Classification
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
Charles A. Bouman, Sea Chen, Mark J. Lowe