Composing Fisher Kernels from Deep Neural Models
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portes grátis
Composing Fisher Kernels from Deep Neural Models
A Practitioner's Approach
Ahmed, Sarah; Azim, Tayyaba
Springer International Publishing AG
09/2018
59
Mole
Inglês
9783319985237
15 a 20 dias
454
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Models;Fisher Vectors;Large Scale Information Retrieval;Feature Compression Techniques;Feature Selection Techniques
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
