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Preface; Memories of Professor Co-workers; Contents; Recognition of Fuzzy or Incompletely Described Objects; 1 Introduction; 2 Basic Notions; 2.1 General Notions; 2.2 Information Variables; 2.3 Relative Logic; 2.4 I-DOR Problems Formulation ; 3 Recognition of Objects with Missing Attributes; 4 Recognition of Objects Described with Interval-Type Uncertainty; 5 Recognition of Objects with Fuzzy Attributes; 6 Conclusions; References; Evaluating and Comparing Classifiers: Review, Some Recommendations and Limitations; 1 Introduction; 2 Measures of Classifier Quality; 3 Quality Estimation Methods
4 Statistical Comparison of Classifiers5 Recommendations and Conclusions; References; Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering; 1 Introduction; 2 Materials and Methods; 2.1 Materials; 2.2 Methods; 3 Experiments; 3.1 Morphological Classification; 3.2 Evaluation of Discriminating Power of Morphological Parameters; 4 Conclusions; References; Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods; 1 Introduction; 1.1 Objective; 1.2 Contributions of This Paper; 2 Survey of the Field; 2.1 Machine Translation
2.2 Syntactic PR3 Contribution I: Template Sentences; 4 Contribution II: Enhancements Using Syntactic PR; 4.1 Word Alignment Utilization; 4.2 MT Using OptPR Algorithm; 5 Experimental Setup and Results; 5.1 Data Acquisition and Processing; 5.2 Baseline Experiment; 5.3 Experimental Results and Analysis; 6 Conclusion; 6.1 String Representation of Sentence Structures; 6.2 Machine Translation Using the OptPR Algorithm; References; Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions; 1 Introduction; 1.1 Organization of This Paper; 2 Time Reversible Markov Chains
3 The Random Walk on Tree3.1 Definitions; 3.2 Structure of the Search Space; 3.3 Analysis of the Solution; 4 Simulation Results; 4.1 Empirical Verification of the Optimality; 5 Conclusions; References; Travel Time Prediction for Trams in Warsaw; 1 Introduction; 2 Warsaw Trams Infrastructure and Data Sources; 3 Prediction Methods; 3.1 Current Delay Propagation; 3.2 Historical Average Time Travel; 3.3 Neural Network Model; 4 Experimental Results; 5 Conclusions and Future Work; References; Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal Elements
1 Introduction2 Medical Diagnosis Support Based on the DST and FST; 2.1 Basic Probability Assignment; 2.2 Diagnosis Belief Measure; 3 The Design of Membership Functions; 4 Rule Selection Algorithm; 5 Experiments; 6 Conclusions; References; Gait Recognition Using Motion Trajectory Analysis; 1 Introduction; 2 Related Work; 3 Proposed Method; 3.1 Motion Descriptor; 3.2 Codebook Generation; 3.3 Feature Encoding; 3.4 Classification; 4 Experiments and Results; 4.1 Performance Evaluation on TUM GAID Database; 4.2 Performance Evaluation on CASIA-A Database; 5 Conclusion; References
4 Statistical Comparison of Classifiers5 Recommendations and Conclusions; References; Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering; 1 Introduction; 2 Materials and Methods; 2.1 Materials; 2.2 Methods; 3 Experiments; 3.1 Morphological Classification; 3.2 Evaluation of Discriminating Power of Morphological Parameters; 4 Conclusions; References; Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods; 1 Introduction; 1.1 Objective; 1.2 Contributions of This Paper; 2 Survey of the Field; 2.1 Machine Translation
2.2 Syntactic PR3 Contribution I: Template Sentences; 4 Contribution II: Enhancements Using Syntactic PR; 4.1 Word Alignment Utilization; 4.2 MT Using OptPR Algorithm; 5 Experimental Setup and Results; 5.1 Data Acquisition and Processing; 5.2 Baseline Experiment; 5.3 Experimental Results and Analysis; 6 Conclusion; 6.1 String Representation of Sentence Structures; 6.2 Machine Translation Using the OptPR Algorithm; References; Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions; 1 Introduction; 1.1 Organization of This Paper; 2 Time Reversible Markov Chains
3 The Random Walk on Tree3.1 Definitions; 3.2 Structure of the Search Space; 3.3 Analysis of the Solution; 4 Simulation Results; 4.1 Empirical Verification of the Optimality; 5 Conclusions; References; Travel Time Prediction for Trams in Warsaw; 1 Introduction; 2 Warsaw Trams Infrastructure and Data Sources; 3 Prediction Methods; 3.1 Current Delay Propagation; 3.2 Historical Average Time Travel; 3.3 Neural Network Model; 4 Experimental Results; 5 Conclusions and Future Work; References; Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal Elements
1 Introduction2 Medical Diagnosis Support Based on the DST and FST; 2.1 Basic Probability Assignment; 2.2 Diagnosis Belief Measure; 3 The Design of Membership Functions; 4 Rule Selection Algorithm; 5 Experiments; 6 Conclusions; References; Gait Recognition Using Motion Trajectory Analysis; 1 Introduction; 2 Related Work; 3 Proposed Method; 3.1 Motion Descriptor; 3.2 Codebook Generation; 3.3 Feature Encoding; 3.4 Classification; 4 Experiments and Results; 4.1 Performance Evaluation on TUM GAID Database; 4.2 Performance Evaluation on CASIA-A Database; 5 Conclusion; References