Verificar estado da encomenda

Faça parte de uma comunidade de amantes de livros de todo o mundo e tenha acesso a uma série de benefícios. Crie uma conta gratuitamente

Correio DHL 7.99 € Correio DPD 4.49 € Ponto DPD 3.99 € Correio GLS 5.49 € Correio MRW 5.49 €

Contacto

Como comprar

Ajuda

A minha conta

▸ Vazio :-(

Human Re-Identification

Name: Human Re-Identification
Brand: Springer International Publishing AG
SKU: 19415761
Price: 99.02 EUR
Availability: InStock
Author: ZIYAN WU
ISBN: 9783319822358

ZIYAN WU

Língua

Inglês

Livro Capa mole

Código Libristo: 19415761

Editoras Springer International Publishing AG, abril 2018

This book covers aspects of human re-identification problems related to computer vision and machine... Descrição completa

Código Libristo: 19415761

240 b

99.02 €

Armazenamento externalo em pequenas quantidades Envio em 13-18 dias

Política de devolução de 30 dias

Os clientes também compraram

Weihnachten 2014, fur Clara. Malen Radi

Capa mole

21.33 €

Gender und Migration an Universitäten, Fachhochschulen und in der höheren Berufsbildung Irene Kriesi

Capa mole

25.79 €

Martirios y mentalidad martirial en las Alpujarras : de la rebelión morisca a las "Actas de Ugíjar" Manuel . . . [et al. ] Barrios Aguilera

Capa mole

8.99 €

Gyenes, el fotógrafo del optimismo Fernando Olmeda

Capa mole

22.65 €

Le nom de la bête Daniel Easterman

Capa mole

9.40 €

BUSCA Y ENCUENTRA JURASSIC WORLD LF JURASSIC WORLD

Livro

6.46 €

This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement. This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable.