Using an ICA Representation of High Dimensional Data for Object Recognition and Classification. - Marco Bressan 001; David Guillamet; Jordi Vitrià (CVPR (1), 2001)

A Weighted Non-Negative Matrix Factorization for Local Representations. - David Guillamet; Marco Bressan 001; Jordi Vitrià (CVPR (1), 2001)

Independent Modes of Variation in Point Distribution Models. - Marco Bressan 001; Jordi Vitrià (IWVF, 2001)

Feature Subset Selection in an ICA Space. - Marco Bressan 001; Jordi Vitrià (CCIA, 2002)

Bayesian Classification for Inspection of Industrial Products. - Petia Radeva; Marco Bressan 001; A. Tovar; Jordi Vitrià (CCIA, 2002)

Improving Naive Bayes Using Class-Conditional ICA. - Marco Bressan 001; Jordi Vitrià (IBERAMIA, 2002)

On the Selection and Classification of Independent Features. - Marco Bressan 001; Jordi Vitrià (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Using an ICA representation of local color histograms for object recognition. - Marco Bressan 001; David Guillamet; Jordi Vitrià (Pattern Recognit., 2003)

Nonparametric discriminant analysis and nearest neighbor classification. - Marco Bressan 001; Jordi Vitrià (Pattern Recognit. Lett., 2003)

Statistical Independence for classification for High Dimensional Data. - Marco Bressan 001 (2003)

Multiclass Object Recognition Using Class-Conditional Independent Component Analysis. - Marco Bressan 001; David Guillamet; Jordi Vitrià (Cybern. Syst., 2004)

Feature Extraction Methods for Real-Time Face Detection and Classification. - David Masip; Marco Bressan 001; Jordi Vitrià (EURASIP J. Adv. Signal Process., 2005)

Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis. - Jordi Vitrià; Marco Bressan 001; Petia Radeva (IEEE Trans. Syst. Man Cybern. Part C, 2007)