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SSPR
2004
Springer
13 years 10 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
ICA
2004
Springer
13 years 10 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
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
FGR
2006
IEEE
179views Biometrics» more  FGR 2006»
13 years 11 months ago
Articulated Hand Tracking by PCA-ICA Approach
—This paper introduces a new representation of hand motions for tracking and recognizing hand-finger gestures in an image sequence. A human hand has many joints, for example our ...
Makoto Kato, Yen-Wei Chen, Gang Xu
ISBI
2007
IEEE
13 years 11 months ago
Statistical Shape Analysis via Principal Factor Analysis
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
Mauricio Reyes, Marius George Linguraru, Kostas Ma...
IJCNN
2007
IEEE
13 years 11 months ago
FEBAM: A Feature-Extracting Bidirectional Associative Memory
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
Sylvain Chartier, Gyslain Giguère, Patrice ...
DELTA
2008
IEEE
13 years 11 months ago
Eigenspectra Palmprint Recognition
This paper introduces a novel technique for palmprint recognition on the transform domain, based on combining principle component analysis (PCA) and Fourier domain. Principal Comp...
Moussadek Laadjel, Ahmed Bouridane, Fatih Kurugoll...
ACML
2009
Springer
13 years 11 months ago
Estimating Likelihoods for Topic Models
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Wray L. Buntine
ICIP
2000
IEEE
14 years 6 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

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jalvarezResearch Scientist, PhD
Computer Vision Center and Autonomous University of Barcelona,
jalvarez
José M. Álvarez received his B.Sc. degree in Telecommunications (2000), as well as his M.Sc. degree in Telecommunications (2005) from La Salle School of Engineering at Ramon Llu...