BibSLEIGH — Robert_P_W

Travelled to:

1 × Australia
1 × Austria
1 × Turkey
1 × USA
2 × Canada
2 × Japan
2 × Portugal
2 × Spain
3 × China
3 × United Kingdom

Collaborated with:

E.Pekalska ∅ D.M.J.Tax P.Paclík M.Loog M.Skurichina M.Orozco-Alzate P.Juszczak T.Landgrebe J.Novovicová S.Verzakov D.d.Ridder J.Kittler V.C.Dinh J.M.Londoño-Bonilla C.Lai M.v.Breukelen A.Hoekstra Y.Li M.J.Gangeh M.S.Kamel A.Ibba W.Lee R.Haeb-Umbach A.Ypma M.Hatef R.D.T.Janssen A.M.Vossepoel H.Kalkan M.Nap Y.P.Calana E.B.G.Reyes G.M.P.v.Kempen R.Kohlus O.Lemmers L.I.Kuncheva C.J.Whitaker C.A.Shipp R.Leitner O.Rajadell D.Porro-Muñoz I.Talavera-Bustamante

Talks about:

classifi (12) dissimilar (9) classif (8) combin (7) represent (5) class (5) data (5) problem (4) pattern (4) select (4)

Person: Robert P. W. Duin

DBLP: Duin:Robert_P=_W=

Contributed to:

2012

2010

2008

2006

2004

2002

2000

1998

1996

1993

Wrote 40 papers:

ICPR-2012-DinhDL #case study #difference #representation: A study on semi-supervised dissimilarity representation (VCD, RPWD, ML), pp. 2861–2864.
ICPR-2012-DinhLLRD #detection #image #multi: Training data selection for cancer detection in multispectral endoscopy images (VCD, ML, RL, OR, RPWD), pp. 161–164.
ICPR-2012-KalkanNDL #automation #classification: Automated classification of local patches in colon histopathology (HK, MN, RPWD, ML), pp. 61–64.
ICPR-2012-LiDL #classification #image #multi: Combining multi-scale dissimilarities for image classification (YL, RPWD, ML), pp. 1639–1642.
ICEIS-DISI-2010-Duin #pattern matching #pattern recognition #problem #recognition: Pattern Recognition as a Human Centered non-Euclidean Problem (RPWD), p. 5.
ICEIS-J-2010-Duin10a #pattern matching #pattern recognition #problem #recognition: Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledge (RPWD), pp. 15–28.
ICPR-2010-CalanaROD #algorithm #difference #prototype #representation #search-based: Prototype Selection for Dissimilarity Representation by a Genetic Algorithm (YPC, EBGR, MOA, RPWD), pp. 177–180.
ICPR-2010-DuinOL #classification #multi: Classification of Volcano Events Observed by Multiple Seismic Stations (RPWD, MOA, JMLB), pp. 1052–1055.
ICPR-2010-GangehKD #categorisation #random: Random Subspace Method in Text Categorization (MJG, MSK, RPWD), pp. 2049–2052.
ICPR-2010-IbbaDL #case study #set: A Study on Combining Sets of Differently Measured Dissimilarities (AI, RPWD, WJL), pp. 3360–3363.
ICPR-2010-PaclikLLD #analysis #classification #optimisation: ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers (PP, CL, TL, RPWD), pp. 2977–2980.
ICPR-2010-Porro-MunozDOTL #difference #representation: Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation (DPM, RPWD, MOA, ITB, JMLB), pp. 814–817.
ICPR-2008-DuinP #difference #learning #matrix #on the: On refining dissimilarity matrices for an improved NN learning (RPWD, EP), pp. 1–4.
ICPR-2008-PaclikLND #analysis #estimation #multi #using: Variance estimation for two-class and multi-class ROC analysis using operating point averaging (PP, CL, JN, RPWD), pp. 1–4.
ICPR-v2-2006-JuszczakTVD: Domain Based LDA and QDA (PJ, DMJT, SV, RPWD), pp. 788–791.
ICPR-v3-2006-PaclikND #classification #image #similarity: A Trainable Similarity Measure for Image Classification (PP, JN, RPWD), pp. 391–394.
ICPR-v3-2006-PekalskaD #classification: Dissimilarity-based classification for vectorial representations (EP, RPWD), pp. 137–140.
ICPR-v4-2006-LandgrebePD: Precision-recall operating characteristic (P-ROC) curves in imprecise environments (TL, PP, RPWD), pp. 123–127.
ICPR-v4-2006-TaxD #linear #optimisation: Linear model combining by optimizing the Area under the ROC curve (DMJT, RPWD), pp. 119–122.
ICPR-v1-2004-DuinPT #classification #problem: The Characterization of Classification Problems by Classifier Disagreements (RPWD, EP, DMJT), pp. 140–143.
ICPR-v3-2004-JuszczakD: Selective Sampling Based on the Variation in Label Assignments (PJ, RPWD), pp. 375–378.
ICPR-v4-2004-PaclikVD #algorithm #feature model #multi: Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data (PP, SV, RPWD), pp. 629–632.
ICPR-v2-2002-Duin #classification #question: The Combining Classifier: To Train or Not to Train? (RPWD), pp. 765–770.
ICPR-v2-2002-PaclikDKK #image #segmentation: Supervised Segmentation of Textures in Backscatter Images (PP, RPWD, GMPvK, RK), pp. 490–493.
ICPR-v2-2002-RidderPD #classification #complexity #fault: The Economics of Classification: Error vs. Complexity (DdR, EP, RPWD), pp. 244–247.
ICPR-v2-2002-TaxD #classification #multi #using: Using Two-Class Classifiers for Multiclass Classification (DMJT, RPWD), pp. 124–127.
ICPR-v3-2002-PekalskaD #difference #performance #prototype: Prototype Selection for Finding Efficient Representations of Dissimilarity Data (EP, RPWD), pp. 37–40.
ICPR-v1-2000-RidderKLD #adaptation #segmentation: The Adaptive Subspace Map for Texture Segmentation (DdR, JK, OL, RPWD), pp. 1216–1220.
ICPR-v2-2000-Duin #classification: Classifiers in Almost Empty Spaces (RPWD), pp. 2001–2007.
ICPR-v2-2000-DuinLH #feature model #linear #multi: Multi-Class Linear Feature Extraction by Nonlinear PCA (RPWD, ML, RHU), pp. 2398–2401.
ICPR-v2-2000-KunchevaWSD #classification #independence #question: Is Independence Good For Combining Classifiers? (LIK, CJW, CAS, RPWD), pp. 2168–2171.
ICPR-v2-2000-PekalskaD #classification #pattern matching #pattern recognition #recognition: Classifiers for Dissimilarity-Based Pattern Recognition (EP, RPWD), pp. 2012–2016.
ICPR-v2-2000-SkurichinaYD #subclass: The Role of Subclasses in Machine Diagnostics (MS, AY, RPWD), pp. 2668–2671.
ICPR-v2-2000-TaxD: Data Description in Subspaces (DMJT, RPWD), pp. 2672–2675.
ICPR-1998-BreukelenD #classification #network: Neural network initialization by combined classifiers (MvB, RPWD), pp. 215–218.
ICPR-1998-Duin #analysis #problem #relational #scalability: Relational discriminant analysis and its large sample size problem (RPWD), pp. 445–449.
ICPR-1996-HoekstraD #classification #on the: On the nonlinearity of pattern classifiers (AH, RPWD), pp. 271–275.
ICPR-1996-KittlerHD #classification: Combining classifiers (JK, MH, RPWD), pp. 897–901.
ICPR-1996-SkurichinaD #classification: Stabilizing classifiers for very small sample sizes (MS, RPWD), pp. 891–896.
ICDAR-1993-JanssenDV #automation #evaluation: Evaluation method for an automatic map interpretation system for cadastral maps (RDTJ, RPWD, AMV), pp. 125–128.