Deep convolutional generative adversarial network-based food recognition using partially labeled data

B Mandal, NB Puhan, A Verma - IEEE Sensors Letters, 2018 - ieeexplore.ieee.org
Traditional machine learning algorithms using hand-crafted feature extraction techniques
(such as local binary pattern) have limited accuracy because of high variation in images of …

[PDF][PDF] Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data

B Mandal, NB Puhan, A Verma - arXiv preprint arXiv:1812.10179, 2018 - academia.edu
Traditional machine learning algorithms using hand-crafted feature extraction techniques
(such as local binary pattern) have limited accuracy because of high variation in images of …

Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data

B Mandal, NB Puhan, A Verma - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Traditional machine learning algorithms using hand-crafted feature extraction techniques
(such as local binary pattern) have limited accuracy because of high variation in images of …

Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data

B Mandal, NB Puhan, A Verma - arXiv preprint arXiv:1812.10179, 2018 - arxiv.org
Traditional machine learning algorithms using hand-crafted feature extraction techniques
(such as local binary pattern) have limited accuracy because of high variation in images of …

Deep Convolutional Generative Adversarial Network-Based Food Recognition Using Partially Labeled Data

B Mandal, NB Puhan, A Verma - IEEE Sensors …, 2019 - keele-repository.worktribe.com
Traditional machine learning algorithms using hand-crafted feature extraction techniques
(such as local binary pattern) have limited accuracy because of high variation in images of …

[PDF][PDF] Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data

B Mandal, NB Puhan, A Verma - core.ac.uk
Traditional machine learning algorithms using hand-crafted feature extraction techniques
(such as local binary pattern) have limited accuracy because of high variation in images of …

[PDF][PDF] Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data

B Mandal, NB Puhan, A Verma - researchgate.net
Traditional machine learning algorithms using hand-crafted feature extraction techniques
(such as local binary pattern) have limited accuracy because of high variation in images of …