Ethem ALPAYDIN, Cenk KAYNAK
Cascading Classifiers.  /369-374/

Victor L. BRAILOVSKY, Michael HAR-EVEN
Detecting a Data Set Structure Through the Use of Nonlinear Projections Search and Optimization.  /375-380/

M. van BREUKELEN, R.P.W. DUIN, D.M.J. TAX and J.E. den HERTOG
Handwritten Digit Recognition by Combined Classifiers.  /381-386/

Lorenzo BRUZZONE, Sebastiano B. SERPICO
A Simple Upper Bound to the Bayes Error Probability for Feature Selection.  /387/

Mô DANG, Gérard GOVAERT
Fuzzy Clustering of Spatial Binary Data.  /393-398/

Robert P.W. DUIN, Dick de RIDDER, David M.J. TAX
Featureless Pattern Classification.  /399-404/

Francesc J. FERRI
Combining Adaptive Vector Quantization and Prototype Selection Techniques to Improve Nearest Neighbour Classifiers.  /405-410/

Jan FLUSSER, Tomáš SUK
On Selecting the Best Features in a Noisy Environment.  /411-416/

Jiří GRIM
Mixture of Experts Architectures for Neural Networks as a Special Case of Conditional Expectation Formula.  /417-422/

Michal HAINDL, Stanislava ŠIMBEROVÁ
A Scratch Removal Method.  /423-428/

Mineichi KUDO, Jack SKLANSKY
A Comparative Evaluation of Medium- and Large-Scale Feature Selectors for Pattern Classifiers.  /429-434/

Rajeev KUMAR, Peter ROCKETT
Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification.  /435-442/

Edgard NYSSEN
Interpretation of Pattern Classification Results, Obtained from a Test Set.  /443-446/

Jiří PIK
Transformation of Structural Patterns in Discrete Events? An Application of Structural Methods in Discrete Event Systems.  /447-450/

Pavel PUDIL, Jana NOVOVIČOVÁ, Petr SOMOL, Radek VRŇATA
Conceptual Base of Feature Selection Consulting System.  /451-460/

Šaurünas RAUDYS
Intrinsic Dimensionality and Small Sample Properties of Classifiers.  /461-466/

Manabu SATO, Mineichi KUDO, Jun TOYAMA, Masaru SHIMBO
Construction of Nonlinear Discrimination Function Base on the MDL Criterion.  /467-472/

Lubomír SOUKUP
Probability Distribution of Transformed Random Variables with Application to Nonlinear Features Extraction.  /473-478/

Hiroshi TENMOTO, Mineichi KUDO, Masaru SHIMBO
Piecewise Linear Classifiers Preserving High Local Recognition Rates.  /479-484/

Igor VAJDA, Jiří GRIM
About the Maximum Information and Maximum Likelihood Principles.  /485-494/
 
 

MICHAEL J. CHAPMAN, DAVID P. GOODALL, NIUGEL C. STEELE, Signal Processing in Electronic Communications. (Kateřina Hlaváčková-Schindler)  /495-496/