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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui