000823024 000__ 05017cam\a2200529Ii\4500 000823024 001__ 823024 000823024 005__ 20230306144003.0 000823024 006__ m\\\\\o\\d\\\\\\\\ 000823024 007__ cr\cn\nnnunnun 000823024 008__ 170510s2017\\\\sz\a\\\\o\\\\\101\0\eng\d 000823024 019__ $$a986630231$$a986872347 000823024 020__ $$a9783319591629$$q(electronic book) 000823024 020__ $$a3319591622$$q(electronic book) 000823024 020__ $$z9783319591612 000823024 035__ $$aSP(OCoLC)ocn986538807 000823024 035__ $$aSP(OCoLC)986538807$$z(OCoLC)986630231$$z(OCoLC)986872347 000823024 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dEBLCP$$dGW5XE$$dYDX$$dN$T$$dOCLCF$$dUAB$$dU3W$$dCAUOI 000823024 049__ $$aISEA 000823024 050_4 $$aTK7882.P3$$b.I58 2017eb 000823024 08204 $$a006.4$$223 000823024 1112_ $$aInternational Conference on Computer Recognition Systems$$n(10th :$$d2017 :$$cPolanica Zdrój, Poland) 000823024 24510 $$aProceedings of the 10th International Conference on Computer Recognition Systems CORES 2017 /$$cMarek Kurzynski, Michal Wozniak, Robert Burduk, editors. 000823024 2463_ $$aCORES 2017 000823024 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017. 000823024 300__ $$a1 online resource :$$billustrations 000823024 336__ $$atext$$btxt$$2rdacontent 000823024 337__ $$acomputer$$bc$$2rdamedia 000823024 338__ $$aonline resource$$bcr$$2rdacarrier 000823024 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5357 ;$$vvolume 578 000823024 500__ $$aIncludes author index. 000823024 5050_ $$aPreface; Memories of Professor Co-workers; Contents; Recognition of Fuzzy or Incompletely Described Objects; 1 Introduction; 2 Basic Notions; 2.1 General Notions; 2.2 Information Variables; 2.3 Relative Logic; 2.4 I-DOR Problems Formulation ; 3 Recognition of Objects with Missing Attributes; 4 Recognition of Objects Described with Interval-Type Uncertainty; 5 Recognition of Objects with Fuzzy Attributes; 6 Conclusions; References; Evaluating and Comparing Classifiers: Review, Some Recommendations and Limitations; 1 Introduction; 2 Measures of Classifier Quality; 3 Quality Estimation Methods 000823024 5058_ $$a4 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 000823024 5058_ $$a2.2 Syntactic PR3 Contribution I: Template Sentences; 4 Contribution II: Enhancements Using Syntactic PR; 4.1 Word Alignment Utilization; 4.2 MT Using OptPR Algorithm; 5 Experimental Setup and Results; 5.1 Data Acquisition and Processing; 5.2 Baseline Experiment; 5.3 Experimental Results and Analysis; 6 Conclusion; 6.1 String Representation of Sentence Structures; 6.2 Machine Translation Using the OptPR Algorithm; References; Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions; 1 Introduction; 1.1 Organization of This Paper; 2 Time Reversible Markov Chains 000823024 5058_ $$a3 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 000823024 5058_ $$a1 Introduction2 Medical Diagnosis Support Based on the DST and FST; 2.1 Basic Probability Assignment; 2.2 Diagnosis Belief Measure; 3 The Design of Membership Functions; 4 Rule Selection Algorithm; 5 Experiments; 6 Conclusions; References; Gait Recognition Using Motion Trajectory Analysis; 1 Introduction; 2 Related Work; 3 Proposed Method; 3.1 Motion Descriptor; 3.2 Codebook Generation; 3.3 Feature Encoding; 3.4 Classification; 4 Experiments and Results; 4.1 Performance Evaluation on TUM GAID Database; 4.2 Performance Evaluation on CASIA-A Database; 5 Conclusion; References 000823024 506__ $$aAccess limited to authorized users. 000823024 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 16, 2017). 000823024 650_0 $$aPattern recognition systems$$vCongresses. 000823024 650_0 $$aImage processing$$xDigital techniques$$vCongresses. 000823024 7001_ $$aKurzyński, Marek,$$eeditor. 000823024 7001_ $$aWoźniak, Michał$$c(Computer scientist),$$eeditor. 000823024 7001_ $$aBurduk, Robert,$$eeditor. 000823024 830_0 $$aAdvances in intelligent systems and computing ;$$v578. 000823024 852__ $$bebk 000823024 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-59162-9$$zOnline Access$$91397441.1 000823024 909CO $$ooai:library.usi.edu:823024$$pGLOBAL_SET 000823024 980__ $$aEBOOK 000823024 980__ $$aBIB 000823024 982__ $$aEbook 000823024 983__ $$aOnline 000823024 994__ $$a92$$bISE