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A probabilistic theory of pattern recognition / Luc Devroye, Lázló Györfi, Gábor Lugosi
| A probabilistic theory of pattern recognition / Luc Devroye, Lázló Györfi, Gábor Lugosi |
| Autore | DEVROYE, Luc |
| Pubbl/distr/stampa | New York : Springer, 1997 |
| Descrizione fisica | XV, 636 p. ; 24 cm |
| Disciplina | 003.52 |
| Altri autori (Persone) |
GYÖRFI, Lázló
LUGOSI, Gábor |
| Collana | Applications of mathematics |
| Soggetto topico | Percezione |
| ISBN | 0-387-94618-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990000561470203316 |
DEVROYE, Luc
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| New York : Springer, 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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A Probabilistic theory of pattern recognition / Luc Devroye, László Györfi, Gábor Lugosi
| A Probabilistic theory of pattern recognition / Luc Devroye, László Györfi, Gábor Lugosi |
| Autore | Devroye, Luc |
| Pubbl/distr/stampa | New York : Springer Verlag, 1996 |
| Descrizione fisica | XV, 636 p. : ill. ; 24 cm |
| Disciplina | 003.52 |
| Altri autori (Persone) |
Lugosi, Gábor
Györfi, László |
| Collana | Applications of mathematics |
| Soggetto non controllato |
Analisi multivariata e multidimensionale dei dati
Classificazione Ricognizione di modulo Calcolo delle probabilità |
| ISBN | 0-387-94-618-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990002873710403321 |
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Devroye, Luc
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| New York : Springer Verlag, 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bridging the gap between graph edit distance and kernel machines [[electronic resource] /] / Michel Neuhaus, Horst Bunke
| Bridging the gap between graph edit distance and kernel machines [[electronic resource] /] / Michel Neuhaus, Horst Bunke |
| Autore | Neuhaus Michel |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (244 p.) |
| Disciplina |
003.52
003/.52 006.4 |
| Altri autori (Persone) | BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Pattern recognition systems
Matching theory Machine learning Kernel functions Graph theory |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-91905-5
9786611919054 981-277-020-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Introduction; 2. Graph Matching; 2.1 Graph and Subgraph; 2.2 Exact Graph Matching; 2.3 Error-Tolerant Graph Matching; 3. Graph Edit Distance; 3.1 Definition; 3.2 Edit Cost Functions; 3.2.1 Conditions on Edit Costs; 3.2.2 Examples of Edit Costs; 3.3 Exact Algorithm; 3.4 Efficient Approximate Algorithm; 3.4.1 Algorithm; 3.4.2 Experimental Results; 3.5 Quadratic Programming Algorithm; 3.5.1 Algorithm; 3.5.1.1 Quadratic Programming; 3.5.1.2 Fuzzy Edit Path; 3.5.1.3 Quadratic Programming Edit Path Optimization; 3.5.2 Experimental Results; 3.6 Nearest-Neighbor Classification
3.7 An Application: Data-Level Fusion of Graphs 3.7.1 Fusion of Graphs; 3.7.2 Experimental Results; 4. Kernel Machines; 4.1 Learning Theory; 4.1.1 Empirical Risk Minimization; 4.1.2 Structural Risk Minimization; 4.2 Kernel Functions; 4.2.1 Valid Kernels; 4.2.2 Feature Space Embedding and Kernel Trick; 4.3 Kernel Machines; 4.3.1 Support Vector Machine; 4.3.2 Kernel Principal Component Analysis; 4.3.3 Kernel Fisher Discriminant Analysis; 4.3.4 Using Non-Positive De nite Kernel Functions; 4.4 Nearest-Neighbor Classification Revisited; 5. Graph Kernels; 5.1 Kernel Machines for Graph Matching 5.2 Related Work 5.3 Trivial Similarity Kernel from Edit Distance; 5.4 Kernel from Maximum-Similarity Edit Path; 5.5 Diffusion Kernel from Edit Distance; 5.6 Zero Graph Kernel from Edit Distance; 5.7 Convolution Edit Kernel; 5.8 Local Matching Kernel; 5.9 Random Walk Edit Kernel; 6. Experimental Results; 6.1 Line Drawing and Image Graph Data Sets; 6.1.1 Letter Line Drawing Graphs; 6.1.2 Image Graphs; 6.1.3 Diatom Graphs; 6.2 Fingerprint Graph Data Set; 6.2.1 Biometric Person Authentication; 6.2.2 Fingerprint Classification; 6.2.3 Fingerprint Graphs; 6.3 Molecule Graph Data Set 6.4 Experimental Setup 6.5 Evaluation of Graph Edit Distance; 6.5.1 Letter Graphs; 6.5.2 Image Graphs; 6.5.3 Diatom Graphs; 6.5.4 Fingerprint Graphs; 6.5.5 Molecule Graphs; 6.6 Evaluation of Graph Kernels; 6.6.1 Trivial Similarity Kernel from Edit Distance; 6.6.2 Kernel from Maximum-Similarity Edit Path; 6.6.3 Diffusion Kernel from Edit Distance; 6.6.4 Zero Graph Kernel from Edit Distance; 6.6.5 Convolution Edit Kernel; 6.6.6 Local Matching Kernel; 6.6.7 Random Walk Edit Kernel; 6.7 Summary and Discussion; 7. Conclusions; Appendix A Graph Data Sets; A.1 Letter Data Set; A.2 Image Data Set A.3 Diatom Data Set A.4 Fingerprint Data Set; A.5 Molecule Data Set; Bibliography; Index |
| Record Nr. | UNINA-9910451557203321 |
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Neuhaus Michel
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| Singapore ; ; Hackensack, NJ, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bridging the gap between graph edit distance and kernel machines [[electronic resource] /] / Michel Neuhaus, Horst Bunke
| Bridging the gap between graph edit distance and kernel machines [[electronic resource] /] / Michel Neuhaus, Horst Bunke |
| Autore | Neuhaus Michel |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (244 p.) |
| Disciplina |
003.52
003/.52 006.4 |
| Altri autori (Persone) | BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Pattern recognition systems
Matching theory Machine learning Kernel functions Graph theory |
| ISBN |
1-281-91905-5
9786611919054 981-277-020-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Introduction; 2. Graph Matching; 2.1 Graph and Subgraph; 2.2 Exact Graph Matching; 2.3 Error-Tolerant Graph Matching; 3. Graph Edit Distance; 3.1 Definition; 3.2 Edit Cost Functions; 3.2.1 Conditions on Edit Costs; 3.2.2 Examples of Edit Costs; 3.3 Exact Algorithm; 3.4 Efficient Approximate Algorithm; 3.4.1 Algorithm; 3.4.2 Experimental Results; 3.5 Quadratic Programming Algorithm; 3.5.1 Algorithm; 3.5.1.1 Quadratic Programming; 3.5.1.2 Fuzzy Edit Path; 3.5.1.3 Quadratic Programming Edit Path Optimization; 3.5.2 Experimental Results; 3.6 Nearest-Neighbor Classification
3.7 An Application: Data-Level Fusion of Graphs 3.7.1 Fusion of Graphs; 3.7.2 Experimental Results; 4. Kernel Machines; 4.1 Learning Theory; 4.1.1 Empirical Risk Minimization; 4.1.2 Structural Risk Minimization; 4.2 Kernel Functions; 4.2.1 Valid Kernels; 4.2.2 Feature Space Embedding and Kernel Trick; 4.3 Kernel Machines; 4.3.1 Support Vector Machine; 4.3.2 Kernel Principal Component Analysis; 4.3.3 Kernel Fisher Discriminant Analysis; 4.3.4 Using Non-Positive De nite Kernel Functions; 4.4 Nearest-Neighbor Classification Revisited; 5. Graph Kernels; 5.1 Kernel Machines for Graph Matching 5.2 Related Work 5.3 Trivial Similarity Kernel from Edit Distance; 5.4 Kernel from Maximum-Similarity Edit Path; 5.5 Diffusion Kernel from Edit Distance; 5.6 Zero Graph Kernel from Edit Distance; 5.7 Convolution Edit Kernel; 5.8 Local Matching Kernel; 5.9 Random Walk Edit Kernel; 6. Experimental Results; 6.1 Line Drawing and Image Graph Data Sets; 6.1.1 Letter Line Drawing Graphs; 6.1.2 Image Graphs; 6.1.3 Diatom Graphs; 6.2 Fingerprint Graph Data Set; 6.2.1 Biometric Person Authentication; 6.2.2 Fingerprint Classification; 6.2.3 Fingerprint Graphs; 6.3 Molecule Graph Data Set 6.4 Experimental Setup 6.5 Evaluation of Graph Edit Distance; 6.5.1 Letter Graphs; 6.5.2 Image Graphs; 6.5.3 Diatom Graphs; 6.5.4 Fingerprint Graphs; 6.5.5 Molecule Graphs; 6.6 Evaluation of Graph Kernels; 6.6.1 Trivial Similarity Kernel from Edit Distance; 6.6.2 Kernel from Maximum-Similarity Edit Path; 6.6.3 Diffusion Kernel from Edit Distance; 6.6.4 Zero Graph Kernel from Edit Distance; 6.6.5 Convolution Edit Kernel; 6.6.6 Local Matching Kernel; 6.6.7 Random Walk Edit Kernel; 6.7 Summary and Discussion; 7. Conclusions; Appendix A Graph Data Sets; A.1 Letter Data Set; A.2 Image Data Set A.3 Diatom Data Set A.4 Fingerprint Data Set; A.5 Molecule Data Set; Bibliography; Index |
| Record Nr. | UNINA-9910777303003321 |
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Neuhaus Michel
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| Singapore ; ; Hackensack, NJ, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bridging the gap between graph edit distance and kernel machines [[electronic resource] /] / Michel Neuhaus, Horst Bunke
| Bridging the gap between graph edit distance and kernel machines [[electronic resource] /] / Michel Neuhaus, Horst Bunke |
| Autore | Neuhaus Michel |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (244 p.) |
| Disciplina |
003.52
003/.52 006.4 |
| Altri autori (Persone) | BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Pattern recognition systems
Matching theory Machine learning Kernel functions Graph theory |
| ISBN |
1-281-91905-5
9786611919054 981-277-020-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Introduction; 2. Graph Matching; 2.1 Graph and Subgraph; 2.2 Exact Graph Matching; 2.3 Error-Tolerant Graph Matching; 3. Graph Edit Distance; 3.1 Definition; 3.2 Edit Cost Functions; 3.2.1 Conditions on Edit Costs; 3.2.2 Examples of Edit Costs; 3.3 Exact Algorithm; 3.4 Efficient Approximate Algorithm; 3.4.1 Algorithm; 3.4.2 Experimental Results; 3.5 Quadratic Programming Algorithm; 3.5.1 Algorithm; 3.5.1.1 Quadratic Programming; 3.5.1.2 Fuzzy Edit Path; 3.5.1.3 Quadratic Programming Edit Path Optimization; 3.5.2 Experimental Results; 3.6 Nearest-Neighbor Classification
3.7 An Application: Data-Level Fusion of Graphs 3.7.1 Fusion of Graphs; 3.7.2 Experimental Results; 4. Kernel Machines; 4.1 Learning Theory; 4.1.1 Empirical Risk Minimization; 4.1.2 Structural Risk Minimization; 4.2 Kernel Functions; 4.2.1 Valid Kernels; 4.2.2 Feature Space Embedding and Kernel Trick; 4.3 Kernel Machines; 4.3.1 Support Vector Machine; 4.3.2 Kernel Principal Component Analysis; 4.3.3 Kernel Fisher Discriminant Analysis; 4.3.4 Using Non-Positive De nite Kernel Functions; 4.4 Nearest-Neighbor Classification Revisited; 5. Graph Kernels; 5.1 Kernel Machines for Graph Matching 5.2 Related Work 5.3 Trivial Similarity Kernel from Edit Distance; 5.4 Kernel from Maximum-Similarity Edit Path; 5.5 Diffusion Kernel from Edit Distance; 5.6 Zero Graph Kernel from Edit Distance; 5.7 Convolution Edit Kernel; 5.8 Local Matching Kernel; 5.9 Random Walk Edit Kernel; 6. Experimental Results; 6.1 Line Drawing and Image Graph Data Sets; 6.1.1 Letter Line Drawing Graphs; 6.1.2 Image Graphs; 6.1.3 Diatom Graphs; 6.2 Fingerprint Graph Data Set; 6.2.1 Biometric Person Authentication; 6.2.2 Fingerprint Classification; 6.2.3 Fingerprint Graphs; 6.3 Molecule Graph Data Set 6.4 Experimental Setup 6.5 Evaluation of Graph Edit Distance; 6.5.1 Letter Graphs; 6.5.2 Image Graphs; 6.5.3 Diatom Graphs; 6.5.4 Fingerprint Graphs; 6.5.5 Molecule Graphs; 6.6 Evaluation of Graph Kernels; 6.6.1 Trivial Similarity Kernel from Edit Distance; 6.6.2 Kernel from Maximum-Similarity Edit Path; 6.6.3 Diffusion Kernel from Edit Distance; 6.6.4 Zero Graph Kernel from Edit Distance; 6.6.5 Convolution Edit Kernel; 6.6.6 Local Matching Kernel; 6.6.7 Random Walk Edit Kernel; 6.7 Summary and Discussion; 7. Conclusions; Appendix A Graph Data Sets; A.1 Letter Data Set; A.2 Image Data Set A.3 Diatom Data Set A.4 Fingerprint Data Set; A.5 Molecule Data Set; Bibliography; Index |
| Record Nr. | UNINA-9910807377703321 |
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Neuhaus Michel
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| Singapore ; ; Hackensack, NJ, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fundamentals of pattern recognition / Monique Pavel
| Fundamentals of pattern recognition / Monique Pavel |
| Autore | Pavel, Monique |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York : Marcel Dekker, c1993 |
| Descrizione fisica | xii, 254 p. ; 24 cm |
| Disciplina | 003.52 |
| Collana | Pure and applied mathematics |
| Soggetto non controllato |
Riconoscimento di forme
Teoria della omotopia Spazi topologici |
| ISBN | 0-8247-8883-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990001329160403321 |
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Pavel, Monique
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| New York : Marcel Dekker, c1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent data analysis : developing new methodologies through pattern discovery and recovery / Hsiao-Fan Wang [editor]
| Intelligent data analysis : developing new methodologies through pattern discovery and recovery / Hsiao-Fan Wang [editor] |
| Autore | WANG, Hsiao-Fan |
| Descrizione fisica | XX, 344 p. : ill. ; 29 cm |
| Disciplina | 003.52 |
| Soggetto topico | Sistemi |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990005551120203316 |
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WANG, Hsiao-Fan
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| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine Learning and Data Mining in Pattern Recognition [[electronic resource] ] : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings / / edited by Petra Perner
| Machine Learning and Data Mining in Pattern Recognition [[electronic resource] ] : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings / / edited by Petra Perner |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (IX, 452 p. 129 illus.) |
| Disciplina | 003.52 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Pattern recognition Algorithms Application software Database management Artificial Intelligence Data Mining and Knowledge Discovery Pattern Recognition Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Database Management |
| ISBN | 3-319-62416-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image mining -- Text mining -- Video mining -- Web mining. . |
| Record Nr. | UNISA-996466298503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Data Mining in Pattern Recognition [[electronic resource] ] : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings / / edited by Petra Perner
| Machine Learning and Data Mining in Pattern Recognition [[electronic resource] ] : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings / / edited by Petra Perner |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (IX, 452 p. 129 illus.) |
| Disciplina | 003.52 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Pattern recognition Algorithms Application software Database management Artificial Intelligence Data Mining and Knowledge Discovery Pattern Recognition Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Database Management |
| ISBN | 3-319-62416-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image mining -- Text mining -- Video mining -- Web mining. . |
| Record Nr. | UNINA-9910483241303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stochastic visibility in random fields / Shelemyahu Zacks
| Stochastic visibility in random fields / Shelemyahu Zacks |
| Autore | Zacks, Shelemyahu |
| Pubbl/distr/stampa | New York [etc.] : Springer, c1994 |
| Descrizione fisica | 175 p. ; 24 cm. + 1 floppy disk |
| Disciplina | 003.52 |
| Collana | Lecture notes in statistics |
| Soggetto topico | Probabilità |
| ISBN | 0-387-94412-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNIBAS-000016307 |
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Zacks, Shelemyahu
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| New York [etc.] : Springer, c1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. della Basilicata | ||
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