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Nearest-neighbor methods in learning and vision : theory and practice / / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk
| Nearest-neighbor methods in learning and vision : theory and practice / / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk |
| Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, ©2005 |
| Descrizione fisica | 1 online resource (280 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) |
ShakhnarovichGregory
DarrellTrevor IndykPiotr |
| Collana | Neural information processing series |
| Soggetto topico |
Nearest neighbor analysis (Statistics)
Machine learning Algorithms Geometry - Data processing |
| Soggetto non controllato | COMPUTER SCIENCE/Machine Learning & Neural Networks |
| ISBN |
1-282-09675-3
9786612096754 0-262-25695-9 1-4237-7253-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Series Foreword; Preface; 1 Introduction; I THEORY; 2 Nearest-Neighbor Searching and Metric Space Dimensions; 3 Locality-Sensitive Hashing Using Stable Distributions; II APPLICATIONS: LEARNING; 4 New Algorithms for Efficient High-Dimensional Nonparametric Classification; 5 Approximate Nearest Neighbor Regression in Very High Dimensions; 6 Learning Embeddings for Fast Approximate Nearest Neighbor Retrieval; III APPLICATIONS: VISION; 7 Parameter-Sensitive Hashing for Fast Pose Estimation; 8 Contour Matching Using Approximate Earth Mover's Distance
9 Adaptive Mean Shift Based Clustering in High Dimensions10 Object Recognition using Locality Sensitive Hashing of Shape Contexts; Contributors; Index |
| Record Nr. | UNINA-9910777516603321 |
| Cambridge, Mass., : MIT Press, ©2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nearest-neighbor methods in learning and vision : theory and practice / / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk
| Nearest-neighbor methods in learning and vision : theory and practice / / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cambridge, Mass., : MIT Press, c2005 |
| Descrizione fisica | 1 online resource (280 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) |
DarrellTrevor
IndykPiotr ShakhnarovichGregory |
| Collana | Neural information processing series |
| Soggetto topico |
Algorithms
Geometry - Data processing Machine learning Nearest neighbor analysis (Statistics) |
| ISBN |
1-282-09675-3
9786612096754 0-262-25695-9 1-4237-7253-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Series Foreword; Preface; 1 Introduction; I THEORY; 2 Nearest-Neighbor Searching and Metric Space Dimensions; 3 Locality-Sensitive Hashing Using Stable Distributions; II APPLICATIONS: LEARNING; 4 New Algorithms for Efficient High-Dimensional Nonparametric Classification; 5 Approximate Nearest Neighbor Regression in Very High Dimensions; 6 Learning Embeddings for Fast Approximate Nearest Neighbor Retrieval; III APPLICATIONS: VISION; 7 Parameter-Sensitive Hashing for Fast Pose Estimation; 8 Contour Matching Using Approximate Earth Mover's Distance
9 Adaptive Mean Shift Based Clustering in High Dimensions10 Object Recognition using Locality Sensitive Hashing of Shape Contexts; Contributors; Index |
| Record Nr. | UNINA-9910824307003321 |
| Cambridge, Mass., : MIT Press, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||