Programme



Sunday 8.6. PM

17.00 - 19.00
Registration
19.00 - 21.00
Welcome Party

Monday 9.6. AM

9.00 - 9.10
Opening
9.15 - 9.55
Invited Paper J. Kittler
9.55 - 10.15
M. Kudo , J. Sklansky
A COMPARATIVE EVALUATION OF MEDIUM- AND LARGE-SCALE FEATURE SELECTORS FOR PATTERN CLASSIFIERS
10.15 - 10.35
D.M.J. Tax, R.P.W. Duin and M. van Breukelen
COMPARISON BETWEEN PRODUCT AND MEAN CLASSIFIER COMBINATION RULES
10.35 - 10.55
Coffee Break
10.55 - 11.15
L. Bruzzone, S.B. Serpico
FEATURE SELECTION IN MULTICLASS CASES:
A PROPOSAL AND AN EXPERIMENTAL INVESTIGATION
11.15 - 11.35
J. Flusser and T. Suk
SELECTING THE BEST FEATURES IN THE CASE OF DECREASING ROBUSTNESS
11.35 - 11.55
L. Soukup
PROBABILITY DISTRIBUTION OF TRANSFORMED RANDOM VARIABLES WITH APPLICATION TO NONLINEAR FEATURE EXTRACTION
11.55 - 12.15
Y. Kharin
STATISTICAL CLASSIFICATION TECHNIQUES:
OPTIMALITY AND ROBUSTNESS

Monday 9.6. PM

12.15 - 13.30
Lunch
14.00 - 14.40
Invited Paper R.P.W. Duin, D. de Ridder and D. Tax
FEATURELESS CLASSIFICATION
14.40 - 15.00
E. Nyssen
INTERPRETATION OF PATTERN CLASSIFICATION RESULTS, OBTAINED FROM A TEST SET
15.00 - 15.20
S. Raudys
INTRINSIC DIMENSIONALITY AND SMALL SAMPLE
PROPERTIES OF STATISTICAL CLASSIFIERS
15.20 - 15.40
Coffee Break
15.40 - 16.00
M.Sato, M.Kudo, J.Toyama and M.Shimbo
CONSTRUCTION OF A NONLINEAR DISCRIMINATION
FUNCTION BASED ON THE MDL CRITERION
16.00 - 16.20
H. Tenmoto, M. Kudo and M. Shimbo
PIECEWISE LINEAR CLASSIFIERS PRESERVING
HIGH LOCAL RECOGNITION RATES
16.20 - 16.40
M. Skurichina, R.P.W. Duin
SCALE DEPENDENCE OF NOISE INJECTION IN PERCEPTRON TRAINING
16.40 - 17.00
R. Kumar, P. Rockett
DECOMPOSITION OF HIGH DIMENSIONAL PATTERN SPACES
FOR HIERARCHICAL CLASSIFICATION

Tuesday 10.6. AM

9.00- 9.40
Invited Paper A. Gagalowicz
9.40 - 10.00
L. Tsogo, M. H. Masson
SIMULATION AND FUSION OF ORDINAL DATA IN A NONMETRIC MULTIDIMENSIONAL SCALING
10.00 - 10.20
T.P. Harte and R. Hanka
NUMBER THEORETIC TRANSFORMS IN NEURAL NETWORK IMAGE CLASSIFICATION.
10.20 - 10.40
Van Mo Dang and G. Govaert
FUZZY CLUSTERING OF SPATIAL BINARY DATA
10.40 - 11.00
Coffee Break
11.00 - 11.20
Invited paper I. Vajda and J. Grim
ABOUT THE MAXIMUM INFORMATION AND MAXIMUM
LIKELIHOOD PRINCIPLES IN NEURAL NETWORK
11.20 - 11.40
J. Grim
MIXTURE OF EXPERTS ARCHITECTURES FOR NEURAL
NETWORKS AS A SPECIAL CASE OF CONDITIONAL
EXPECTATION FORMULA
11.40 - 12.00
V. Hlavac and J. Fojtik
PREDICTOR BASED ON FREQUENCY ANALYSIS OF THE LOCAL CONFIGURATIONS USED FOR LOSSLESS IMAGE COMPRESSION

Tuesday 10.6. PM

12.00 - 13.15
Lunch
13.30 - 14.30
Poster Session

A. Jahn, J. M. Gloger, J. Franke
A COMPARISON OF LINEAR DIMENSION REDUCTION
ALGORITHMS USING DIFFERENT FEATURE EXTRACTION
METHODS

E. Ocelikova
DECREASING DIMENSION OF FEATURE SPACE IN
CLASSIFICAL TASKS

G. Peters and N. Krueger
LEARNING OBJECT REPRESENTATIONS BY CLUSTERING BANANA WAVELET RESPONSES

M.R. Scarr, C.C. Taylor, I.L. Dryden
THE USE OF TEXTURE AND SHAPE IN THE DISCRIMINATION OF WEEDS AND CROPS

E.W. Tyree and J.A. Long
MODELLING CLUSTERS OF ARBITRARY SHAPE WITH AGGLOMERATIVE - PARTIONAL CLUSTERING

15.00 - 19.30
Sightseeing Tour
19.30 - 23.00
Banquet

Wednesday 11.6. AM

9.00- 9.40
Invited Paper P. Pudil, J. Novovicova, P. Somol, R. Vrnata
CONCEPTUAL BASE OF FEATURE SELECTION CONSULTING SYSTEM
9.40 - 10.00
Victor L. Brailovsky, Michel Har-even
DETECTING A DATA SET STRUCTURE THROUGH THE USE OF
NONLINEAR PROJECTIONS AND STOCHASTIC OPTIMIZATION
10.00 - 10.20
N.A. Thacker, F.J. Aherne and P.I. Rockett
THE BHATTACHARYYA METRIC AS AN ABSOLUTE SIMILARITY MEASURE FOR FREQUENCY CODED DATA
10.20 - 10.40
M. van Breukelen, R.P.W. Duin, D.M.J. Tax
COMBINING CLASSIFIERS FOR THE RECOGNITION OF
HANDWRITTEN DIGITS
10.40- 11.00
Coffee Break
11.00 - 11.20
F.J. Ferri
USING PROTOTYPE SELECTION AND ADAPTIVE VECTOR
QUANTIZATION TO OBTAIN REDUCED SETS OF PROTOTYPES
FOR CLASSIFICATION PURPOSES
11.20 - 11.40
R.C.Crida, A.J.Stoddart, A.Griffin and T.Windeatt
A STATISTICAL ESTIMATION PROCEDURE FOR THERMOCHROMIC PAINT
11.40- 12.00
E. Alpaydin, C. Kaynak
CASCADING CLASSIFIERS
12.00 12.20
J. Pik
TRANSFORMATION OF STRUCTURAL PATTERNS
OR DESCRETE EVENTS ? AN APPLICATION
OF STRUCTURAL METHODS IN DISCRETE EVENT SYSTEMS.
12.20 - 12.40
M. Haindl S. Simberova
A SCRATCH REMOVAL METHOD
12.40 - 14.00
Lunch





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