Travelled to:1 × China
1 × Spain
1 × USA
1 × United Kingdom
2 × Canada
Collaborated with:R.P.W.Duin D.M.J.Tax D.d.Ridder
Talks about:dissimilar (4) classif (3) represent (2) classifi (2) base (2) character (1) recognit (1) prototyp (1) vectori (1) problem (1)
Person: Elzbieta Pekalska
DBLP: Pekalska:Elzbieta
Contributed to:
200820062004200220022000Wrote 6 papers:
- ICPR-2008-DuinP #difference #learning #matrix #on the
- On refining dissimilarity matrices for an improved NN learning (RPWD, EP), pp. 1–4.
- ICPR-v3-2006-PekalskaD #classification
- Dissimilarity-based classification for vectorial representations (EP, RPWD), pp. 137–140.
- ICPR-v1-2004-DuinPT #classification #problem
- The Characterization of Classification Problems by Classifier Disagreements (RPWD, EP, DMJT), pp. 140–143.
- ICPR-v2-2002-RidderPD #classification #complexity #fault
- The Economics of Classification: Error vs. Complexity (DdR, EP, RPWD), pp. 244–247.
- ICPR-v3-2002-PekalskaD #difference #performance #prototype
- Prototype Selection for Finding Efficient Representations of Dissimilarity Data (EP, RPWD), pp. 37–40.
- ICPR-v2-2000-PekalskaD #classification #pattern matching #pattern recognition #recognition
- Classifiers for Dissimilarity-Based Pattern Recognition (EP, RPWD), pp. 2012–2016.