no code implementations • 30 Mar 2020 • Manohar Karki, Junghwan Cho
A lesion conditional image (segmented mask) is an input to both the generator and the discriminator of the LcGAN during training.
1 code implementation • 15 Nov 2019 • Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna Nemani
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning.
Ranked #1 on Satellite Image Classification on SAT-4
no code implementations • 21 Jun 2018 • Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay
Classification techniques for images of handwritten characters are susceptible to noise.
Ranked #1 on Document Image Classification on n-MNIST
no code implementations • 6 Dec 2016 • Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay
The intermediate map responses of a Convolutional Neural Network (CNN) contain information about an image that can be used to extract contextual knowledge about it.
no code implementations • 9 May 2016 • Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna Nemani, Shreekant Gayaka
To this end, we first derive the size of the feature space for some standard textural features extracted from the input dataset and then use the theory of Vapnik-Chervonenkis dimension to show that hand-crafted feature extraction creates low-dimensional representations which help in reducing the overall excess error rate.
no code implementations • 11 Sep 2015 • Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna Nemani
Learning sparse feature representations is a useful instrument for solving an unsupervised learning problem.
1 code implementation • 11 Sep 2015 • Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna Nemani
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning.
Ranked #2 on Satellite Image Classification on SAT-6