Marco Bressan

Affiliations:
  • Univ. Autonoma de Barcelona, Spain


According to our database1, Marco Bressan authored at least 13 papers between 2001 and 2007.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2007
Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis.
IEEE Trans. Syst. Man Cybern. Part C, 2007

2005
Feature Extraction Methods for Real-Time Face Detection and Classification.
EURASIP J. Adv. Signal Process., 2005

2004
Multiclass Object Recognition Using Class-Conditional Independent Component Analysis.
Cybern. Syst., 2004

2003
Statistical Independence for classification for High Dimensional Data.
PhD thesis, 2003

Nonparametric discriminant analysis and nearest neighbor classification.
Pattern Recognit. Lett., 2003

Using an ICA representation of local color histograms for object recognition.
Pattern Recognit., 2003

On the Selection and Classification of Independent Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

2002
Improving Naive Bayes Using Class-Conditional ICA.
Proceedings of the Advances in Artificial Intelligence, 2002

Bayesian Classification for Inspection of Industrial Products.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002

Feature Subset Selection in an ICA Space.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002

2001
Independent Modes of Variation in Point Distribution Models.
Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

A Weighted Non-Negative Matrix Factorization for Local Representations.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Using an ICA Representation of High Dimensional Data for Object Recognition and Classification.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001


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