Publications

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2011

Luckner, Marcin

Multiclass SVM classification using graphs calibrated by similarity between classes Inproceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 435–444, 2011, ISSN: 03029743.

Links | BibTeX | Tags: Classification, Decision trees, Directed Acyclic Graph, One-Against-All, One-Against-One

Luckner, Marcin

Multiclass SVM classification using graphs calibrated by similarity between classes Inproceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 435–444, 2011, ISSN: 03029743.

Links | BibTeX | Tags: Classification, Decision trees, Directed Acyclic Graph, One-Against-All, One-Against-One

2006

ł, W{ł}adys; Luckner, Marcin

Automatic Knowledge Acquisition: Recognizing Music Notation with Methods of Centroids and Classifications Trees Inproceedings

The 2006 IEEE International Joint Conference on Neural Network Proceedings, pp. 3382–3388, IEEE, 2006, ISSN: 10987576.

Abstract | Links | BibTeX | Tags: centroids, Classification tree analysis, classifications trees, classifiers, Decision trees, feature extraction, Knowledge acquisition, Multiple signal classification, music, music notation recognition, music symbols recognition, Neural networks, Optical character recognition software, Ordinary magnetoresistance, pattern classification, Pattern recognition, Printing, Text recognition, Tiles

ł, W{ł}adys; Luckner, Marcin

Automatic Knowledge Acquisition: Recognizing Music Notation with Methods of Centroids and Classifications Trees Inproceedings

The 2006 IEEE International Joint Conference on Neural Network Proceedings, pp. 3382–3388, IEEE, 2006, ISSN: 10987576.

Abstract | Links | BibTeX | Tags: centroids, Classification tree analysis, classifications trees, classifiers, Decision trees, feature extraction, Knowledge acquisition, Multiple signal classification, music, music notation recognition, music symbols recognition, Neural networks, Optical character recognition software, Ordinary magnetoresistance, pattern classification, Pattern recognition, Printing, Text recognition, Tiles