Pattern recognition with support vector machines : first international workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002 : proceedings
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| Outros Autores: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Colecção: | Lecture notes in computer science
2388 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Actes d'une conférence tenue à Niagara Falls le 10 août 2002, d'après l écran-titre Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Pattern recognition with support vector machines, first international workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, proceedings, Seong-Whan Lee, Alessandro Verri (eds.), Berlin, Springer, 2002, 1 vol. (XI-420 p.), Lecture notes in computer science, 3-540-44016-X • Pattern Recognition with Support Vector Machines, Texte imprimé, 9783662187920 |
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| 245 | 0 | 0 | |a Pattern recognition with support vector machines : |b first international workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002 : proceedings |c [edited by] Seong-Whan Lee, Alessandro Verri. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science |v 2388 |x 1611-3349 | |
| 500 | |a Actes d'une conférence tenue à Niagara Falls le 10 août 2002, d'après l écran-titre | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Invited Papers -- Predicting Signal Peptides with Support Vector Machines -- Scaling Large Learning Problems with Hard Parallel Mixtures -- Computational Issues -- On the Generalization of Kernel Machines -- Kernel Whitening for One-Class Classification -- A Fast SVM Training Algorithm -- Support Vector Machines with Embedded Reject Option -- Object Recognition -- Image Kernels -- Combining Color and Shape Information for Appearance-Based Object Recognition Using Ultrametric Spin Glass-Markov Random Fields -- Maintenance Training of Electric Power Facilities Using Object Recognition by SVM -- Kerneltron: Support Vector Machine in Silicon -- Pattern Recognition -- Advances in Component-Based Face Detection -- Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison -- Analysis of Nonstationary Time Series Using Support Vector Machines -- Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines -- Applications -- Anomaly Detection Enhanced Classification in Computer Intrusion Detection -- Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat s Barrel Cortex -- Applications of Support Vector Machines for Pattern Recognition: A Survey -- Typhoon Analysis and Data Mining with Kernel Methods -- Poster Papers -- Support Vector Features and the Role of Dimensionality in Face Authentication -- Face Detection Based on Cost-Sensitive Support Vector Machines -- Real-Time Pedestrian Detection Using Support Vector Machines -- Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition -- Color Texture-Based Object Detection: An Application to License Plate Localization -- Support Vector Machines in Relational Databases -- Multi-ClassSVM Classifier Based on Pairwise Coupling -- Face Recognition Using Component-Based SVM Classification and Morphable Models -- A New Cache Replacement Algorithm in SMO -- Optimization of the SVM Kernels Using an Empirical Error Minimization Scheme -- Face Detection Based on Support Vector Machines -- Detecting Windows in City Scenes -- Support Vector Machine Ensemble with Bagging -- A Comparative Study of Polynomial Kernel SVM Applied to Appearance-Based Object Recognition. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Apprentissage automatique | ||
| 650 | |a Reconnaissance des formes (informatique) | ||
| 650 | |a Algorithmes | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Traitement d'images | ||
| 650 | |a Perception des structures | ||
| 650 | |a Statistique |x Logiciels | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Lee, Seong-whan, |d 1962- |4 pbd | |
| 700 | 1 | |a Verri, Alessandro, |d 19..- |4 pbd | |
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| 776 | 0 | |t Pattern Recognition with Support Vector Machines |b Texte imprimé |z 9783662187920 | |
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