Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Zistiť stav objednávky

Staňte sa súčasťou komunity milovníkov kníh z celého sveta a získajte hromadu výhod. Založiť účet zdarma

Doprava zadarmo s Packetou nad 59.99 €

Kuriér DPD 2.99 € Kuriér GLS 3.99 € Zberné miesto GLS 2.49 € SPS 3.99 € SPS Parcel Shop 2.99 € Packeta kurýr 3.99 € Slovenská pošta 3.99 € Zberné miesto DPD 2.99 € Packeta 2.99 €

Kontakt

Ako nakupovať

Pomoc

Môj účet

▸ Prázdny :-(

Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Graph Classification And Clustering Based On Vector Space Embedding

Name: Graph Classification And Clustering Based On Vector Space Embedding
Brand: World Scientific Publishing Co Pte Ltd
SKU: 05070120
Price: 124.04 EUR
Availability: InStock
Author: Kaspar Riesen
ISBN: 9789814304719

Kaspar Riesen

Horst Bunke

Jazyk

Angličtina

Kniha Pevná

Libristo kód: 05070120

Nakladateľstvo World Scientific Publishing Co Pte Ltd, máj 2010

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based... Celý popis

Libristo kód: 05070120

303 b

124.04 €

Skladom u dodávateľa Odosielame za 10-16 dní

Až 30 dní na vrátenie tovaru

Zákazníci tiež kúpili

Kontraktmanagement Oliver Saß

Brožovaná

16.00 €

Biblia Rvr 1960 Letra Grande, Tama?o Manual, Tapa Dura de Tela Jesús Sana / Span Ish Bible Rvr 1960 Handy Size Large Print Hardcover Cloth Jesus Heals Reina Valera Revisada 1960

Pevná

18.30 €

Kyrie Irving Belmont E-kniha

Adobe ePub DRM

1.39 €

La dame de l'Orient-Express Lindsay Ashford

Brožovaná

9.99 €

TOMBEAU DE P.D.Q. BACH VIOLON-LIVRE +PARTITION PETER SCHICKELE Kniha

binding.

25.10 €

Die Statthalterschaftszeit In Liv Und Estland, 1783-1796 (1886) Friedrich Bienemann

Brožovaná

37.81 €

Loi electorale et le scrutin de liste LAMIRAULT-R

Brožovaná

15.50 €

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector. This volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an embedding gives one access to all algorithms developed in the past for feature vectors, which has been the predominant representation formalism in pattern recognition and related areas for a long time.