Composing Fisher Kernels from Deep Neural Models A Practitioner's Approach
tarafından
Azim, Tayyaba. author.
Başlık
:
Composing Fisher Kernels from Deep Neural Models A Practitioner's Approach
Yazar
:
Azim, Tayyaba. author.
ISBN
:
9783319985244
Yazar
:
Azim, Tayyaba. author.
Edisyon
:
1st ed. 2018.
Fiziksel Niteleme
:
XIII, 59 p. 6 illus., 5 illus. in color. online resource.
Seri
:
SpringerBriefs in Computer Science,
İçindekiler
:
Chapter 1. Kernel Based Learning: A Pragmatic Approach in the Face of New Challenges -- Chapter 2. Fundamentals of Fisher Kernels -- Chapter 3. Training Deep Models and Deriving Fisher Kernels: A Step Wise Approach -- Chapter 4. Large Scale Image Retrieval and Its Challenges -- Chapter 5. Open Source Knowledge Base for Machine Learning Practitioners.
Özet
:
.
Konu Başlığı
:
Optical pattern recognition.
Information storage and retrieval systems.
Computer science.
Artificial intelligence.
Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X
Signal, Image and Speech Processing. http://scigraph.springernature.com/things/product-market-codes/T24051
Information Storage and Retrieval. http://scigraph.springernature.com/things/product-market-codes/I18032
Probability and Statistics in Computer Science. http://scigraph.springernature.com/things/product-market-codes/I17036
Data Storage Representation. http://scigraph.springernature.com/things/product-market-codes/I15025
Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000
Yazar Ek Girişi
:
Ahmed, Sarah.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
| Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
|---|
| Electronic Book | 221930-1001 | Q337.5 | Springer E-Book Collection |