Co-administration of two or more drugs simultaneously can result in adve...
In this work we propose a clustering framework based on the paradigm of
...
Subspace clustering techniques have shown promise in hyperspectral image...
This work proposes a supervised multi-channel time-series learning frame...
This work proposes an unsupervised fusion framework based on deep
convol...
This work addresses the problem of analyzing multi-channel time series d...
This work introduces a new unsupervised representation learning techniqu...
In this work we address the problem of real-time dynamic medical MRI and...
Design of recommender systems aimed at achieving high prediction accurac...
In multi echo imaging, multiple T1/T2 weighted images of the same cross
...
Currently there are several well-known approaches to non-intrusive appli...
The term blind denoising refers to the fact that the basis used for deno...
The objective of this work is to improve the accuracy of building demand...
This work follows the approach of multi-label classification for
non-int...
Latent factor models have been used widely in collaborative filtering ba...
Subspace clustering assumes that the data is sepa-rable into separate
su...
Multi-echo magnetic resonance (MR) images are acquired by changing the e...
Increasing population indicates that energy demands need to be managed i...
The possibility of employing restricted Boltzmann machine (RBM) for
coll...
In this paper a joint optimization technique has been proposed for coupl...
This work addresses the problem of reconstructing biomedical signals fro...
Kinship verification has a number of applications such as organizing lar...
Enhancing low resolution images via super-resolution or image synthesis ...
Indian regional movie dataset is the first database of regional Indian
m...
Face sketch to digital image matching is an important challenge of face
...
Soft biometric modalities have shown their utility in different applicat...
Currently there are two predominant ways to train deep neural networks. ...
This work addresses the problem of extracting deeply learned features
di...
In this work we propose a new deep learning tool called deep dictionary
...
This work addresses the problem of estimating proton density and T1 maps...
In this work we address the problem of real-time dynamic MRI reconstruct...
The Kaczmarz algorithm is popular for iteratively solving an overdetermi...