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1. |
Record Nr. |
UNISALENTO991001865909707536 |
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Autore |
Kato, Shuichi |
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Titolo |
Arte e società in Giappone / Shuichi Kato |
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Pubbl/distr/stampa |
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Torino : Edizioni della Fondazione Giovanni Agnelli, [1991] |
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ISBN |
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Descrizione fisica |
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xiii, 202 p., [48] p. di tav. ; 21 cm. |
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Collana |
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Soggetti |
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Arte e società - Giappone |
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Lingua di pubblicazione |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910782392103321 |
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Autore |
Huang Kou-Yuan |
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Titolo |
Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang |
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Pubbl/distr/stampa |
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River Edge, NJ, : World Scientific, c2002 |
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ISBN |
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1-281-92835-6 |
9786611928353 |
981-277-574-9 |
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Descrizione fisica |
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1 online resource (149 p.) |
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Collana |
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Series in machine perception and artificial intelligence ; ; v. 46 |
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Disciplina |
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Soggetti |
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Petroleum - Prospecting - Data processing |
Pattern recognition systems |
Seismic reflection method - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 123-129) and index. |
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Nota di contenuto |
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CONTENTS; AUTHOR'S BIOGRAPHY; PREFACE; 1 INTRODUCTION TO |
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SYNTACTIC PATTERN RECOGNITION; 1.1. SUMMARY; 1.2. INTRODUCTION; 1.3. ORGANIZATION OF THIS BOOK; 2 INTRODUCTION TO FORMAL LANGUAGES AND AUTOMATA; 2.1. SUMMARY; 2.2. LANGUAGES AND GRAMMARS; 2.3. FINITE-STATE AUTOMATON; 2.4. EARLEY'S PARSING; 2.5. FINITE-STATE GRAMMATICAL INFERENCE; 2.6. STRING DISTANCE COMPUTATION; 3 ERROR-CORRECTING FINITE-STATE AUTOMATON FOR RECOGNITION OF RICKER WAVELETS; 3.1. SUMMARY; 3.2. INTRODUCTION; 3.3. SYNTACTIC PATTERN RECOGNITION; 3.3.1. Training and Testing Ricker Wavelets |
3.3.2. Location of Waveforms and Pattern Representation3.4. EXPANDED GRAMMARS; 3.4.1. General Expanded Finite-State Grammar; 3.4.2. Restricted Expanded Finite-State Grammar; 3.5. MINIMUM-DISTANCE ERROR-CORRECTING FINITE-STATE PARSING; 3.6. CLASSIFICATION OF RICKER WAVELETS; 3.7. DISCUSSION AND CONCLUSIONS; 4 ATTRIBUTED GRAMMAR AND ERROR-CORRECTING EARLEY'S PARSING; 4.1. SUMMARY; 4.2. INTRODUCTION; 4.3. ATTRIBUTED PRIMITIVES AND STRING; 4.4. DEFINITION OF ERROR TRANSFORMATIONS FOR ATTRIBUTED STRINGS; 4.5. INFERENCE OF ATTRIBUTED GRAMMAR |
4.6. MINIMUM-DISTANCE ERROR-CORRECTING EARLEY'S PARSING FOR ATTRIBUTED STRING4.7. EXPERIMENT; 5 ATTRIBUTED GRAMMAR AND MATCH PRIMITIVE MEASURE (MPM) FOR RECOGNITION OF SEISMIC WAVELETS; 5.1. SUMMARY; 5.2. SIMILARITY MEASURE OF ATTRIBUTED STRING MATCHING; 5.3. INFERENCE OF ATTRIBUTED GRAMMAR; 5.4. TOP-DOWN PARSING USING MPM; 5.5. EXPERIMENTS OF SEISMIC PATTERN RECOGNITION; 5.5.1. Recognition of Seismic Ricker Wavelets; 5.5.2. Recognition of Wavelets in Real Seismogram; 5.6. CONCLUSIONS; 6 STRING DISTANCE AND LIKELIHOOD RATIO TEST FOR DETECTION OF CANDIDATE BRIGHT SPOT; 6.1. SUMMARY |
6.2. INTRODUCTION6.3. OPTIMAL QUANTIZATION ENCODING; 6.4. LIKELIHOOD RATIO TEST (LRT); 6.5. LEVENSHTEIN DISTANCE AND ERROR PROBABILITY; 6.6. EXPERIMENT AT MISSISSIPPI CANYON; 6.6.1. Likelihood Ratio Test (LRT); 6.6.2. Threshold for Global Detection; 6.6.3. Threshold for the Detection of Candidate Bright Spot; 6.7. EXPERIMENT AT HIGH ISLAND; 7 TREE GRAMMAR AND AUTOMATON FOR SEISMIC PATTERN RECOGNITION; 7.1. SUMMARY; 7.2. INTRODUCTION; 7.3. TREE GRAMMAR AND LANGUAGE; 7.4. TREE AUTOMATON; 7.5. TREE REPRESENTATIONS OF PATTERNS; 7.6. INFERENCE OF EXPANSIVE TREE GRAMMAR |
7.7. WEIGHTED MINIMUM-DISTANCE SPECTA7.8. MODIFIED MAXIMUM-LIKELIHOOD SPECTA; 7.9. MINIMUM DISTANCE GECTA; 7.10. EXPERIMENTS ON INPUT TESTING SEISMOGRAMS; 7.11. DISCUSSION AND CONCLUSIONS; 8 A HIERARCHICAL RECOGNITION SYSTEM OF SEISMIC PATTERNS AND FUTURE STUDY; 8.1. SUMMARY; 8.2. INTRODUCTION; 8.3. SYNTACTIC PATTERN RECOGNITION; 8.3.1. Linking Processing and Segmentation; 8.3.2. Primitive Recognition; 8.3.3. Training Patterns; 8.3.4. Grammatical Inference; 8.3.5. Finite-state Error Correcting Parsing; 8.4. COMMON-SOURCE SIMULATED SEISMOGRAM RESULTS; 8.5. STACKED SIMULATED SEISMOGRAM RESULTS |
8.6. CONCLUSIONS |
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Sommario/riassunto |
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The use of pattern recognition has become more and more important in seismic oil exploration. Interpreting a large volume of seismic data is a challenging problem. Seismic reflection data in the one-shot seismogram and stacked seismogram may contain some structural information from the response of the subsurface. Syntactic/structural pattern recognition techniques can recognize the structural seismic patterns and improve seismic interpretations. The syntactic analysis |
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methods include: (1) the error-correcting finite-state parsing, (2) the modified error-correcting Earley's parsing, (3) the p |
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3. |
Record Nr. |
UNINA9910969678803321 |
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Autore |
Löbl Ivan |
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Titolo |
Hydrophiloidea-Staphylinoidea |
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Pubbl/distr/stampa |
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Leiden : , : BRILL, , 2015 |
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ISBN |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (1730 pages) |
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Collana |
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Catalogue of Palaearctic Coleoptera |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Beetles |
Biology |
Staphylinidae |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Preliminary Material / I. Löbl and D. Löbl -- New Nomenclatural and Taxonomic Acts, and Comments / I. Löbl and D. Löbl -- Catalogue / I. Löbl and D. Löbl -- Staphylinidae / I. Löbl and D. Löbl -- References / I. Löbl and D. Löbl -- Index to family-group names / I. Löbl and D. Löbl -- Index to genus-group names / I. Löbl and D. Löbl. |
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Sommario/riassunto |
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Taxonomy provides the basic building blocks of our understanding of the diversity of life on this planet. It stems from innate human curiosity; confronted with an unknown species or object we ask \'what is it?\' Taxonomists recognize species and other systematic unities (the taxa), define them and place them within the framework of known organisms, providing the means for their subsequent identification. The Catalogue of Palaearctic Coleoptera (edited by I. andamp; D. Löbl) gives a taxonomic overview of the most diverse group of all living things in the world's largest biogeographical area. It fixes nomenclature needed for unambiguous transfer of information, gives information about the occurrence of species and subspecies, and contains references that provide key information of over 40,000 systematic units. The work is a |
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scaffold for biotic surveys, ecological studies, and nature conservation. It responds also to the urgent need of assessment of the still left forms of life, actually threatened by the on-going destruction of habitats. Contributors are: Robert B. Angus, Martin Fikáček, Elio Gentili, Manfred A. Jäch, Fenglong Jia, Tomáš Lackner, Ivan Löbl, Sławomir Mazur, Yusuke Minoshima, Alfred F. Newton, Michel Perreau, Alexander Prokin, Marek Przewoźny, Jan Rŭžička, Sergey K. Ryndevich, Michael Schülke, André Skale, Aleš Smetana, Mikael Sörensson. The publication of the work was supported by the Muséum de la Ville de Genève, Geneva, Switzerland. |
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