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Nearest-neighbor methods in learning and vision : theory and practice

Auteur: Gregory Shakhnarovich; Trevor Darrell; Piotr Indyk
Uitgever: Cambridge, Mass. : MIT Press, ©2005.
Serie: Neural information processing series.
Editie/Formaat:   eBoek : Document : Conferentie-uitgave : EngelsAlle edities en materiaalsoorten bekijken.
Samenvatting:
Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets. This volume presents theoretical and practical discussions of nearest-neighbor (NN) methods  Meer lezen...
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Genre/Vorm: Electronic books
Conference papers and proceedings
Congresses
Aanvullende fysieke materiaalsoort: Print version:
Nearest-neighbor methods in learning and vision.
Cambridge, Mass. : MIT Press, ©2005
(DLC) 2005053124
(OCoLC)61247438
Genre: Conferentie-uitgave, Document, Internetbron
Soort document Internetbron, Computerbestand
Alle auteurs / medewerkers: Gregory Shakhnarovich; Trevor Darrell; Piotr Indyk
ISBN: 9780262256957 0262256959
OCLC-nummer: 68907209
Opmerkingen: " ... held in Whistler, British Columbia ... annual conference on Neural Information Processing Systems (NIPS) in December 2003"--Preface.
Beschrijving: 1 online resource (vi, 252 pages) : illustrations.
Inhoud: Nearest-neighbor searching and metric space dimensions / Kenneth L. Clarkson --
Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] --
New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. Moore, and Alexander Gray --
Approximate nearest neighbor regression in very high dimensions / Sethu Vijayakumar, Aaron D'Souza, and Stefan Schaal --
Learning embeddings for fast approximate nearest neighbor retrieval / Vassilis Athitsos [and others] --
Parameter-sensitive hashing for fast pose estimation / Gregory Shakhnarovich, Paul Viola, and Trevor Darrell --
Contour matching using approximate Earth mover's distance / Kristen Grauman and Trevor Darrell --
Adaptive mean shift based clustering in high dimensions / Ilan Shimshoni, Bogdan Georgescu, and Peter Meer --
Object recognition using locality sensitive hashing of shape contexts / Andrea Frome and Jitendra Malik.
Serietitel: Neural information processing series.
Verantwoordelijkheid: edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk.

Fragment:

Advances in computational geometry and machine learning that offer new methods for search, regression, and classification with large amounts of high-dimensional data.  Meer lezen...

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