Composing Fisher Kernels from Deep Neural Models A Practitioner's Approach /

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Azim, Tayyaba (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Ahmed, Sarah (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:SpringerBriefs in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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505 0 |a 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. 
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