Multimodal Deep Learning for Multi-Label Classification and Ranking Problems

Multimodal Deep Learning for Multi-Label Classification and Ranking Problems

In recent years, deep neural network models have shown to outperform many state of the art algorithms. The reason for this is, unsupervised pretraining with multi-layered deep neural networks have shown to learn better features, which further improves many supervised tasks. These models not only aut...

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Bibliographic Details
Main Author: Dubey, Abhishek
Other Authors: Dukkipati, Ambedkar
Language:en_US
Published: 2018
Subjects:
Neural Networks
Deep Neural Network Models
Neural Network Architecture
Multimodal Deep Neural Networks
Multimodal Deep Learning
Multi-Label Classification (MLC)
Multi-class Classification (MCC)
Label Ranking
Multimodal Neural Networks
Supervised Learning
Multilayer Neural Network
Perceptron Model
Computer Science
Online Access:http://etd.iisc.ernet.in/2005/3681
http://etd.iisc.ernet.in/abstracts/4551/G26906-Abs.pdf

Internet

http://etd.iisc.ernet.in/2005/3681
http://etd.iisc.ernet.in/abstracts/4551/G26906-Abs.pdf

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