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10/19/2022
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction
Co-administration of two or more drugs simultaneously can result in adve...
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11/27/2021
Transformed K-means Clustering
In this work we propose a clustering framework based on the paradigm of ...
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11/27/2021
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification
Subspace clustering techniques have shown promise in hyperspectral image...
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11/09/2020
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems
This work proposes a supervised multi-channel time-series learning frame...
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11/09/2020
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework
This work proposes an unsupervised fusion framework based on deep convol...
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11/09/2020
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis
This work addresses the problem of analyzing multi-channel time series d...
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10/02/2020
Deep Convolutional Transform Learning – Extended version
This work introduces a new unsupervised representation learning techniqu...
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12/11/2019
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction
In this work we address the problem of real-time dynamic medical MRI and...
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12/11/2019
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework
Design of recommender systems aimed at achieving high prediction accurac...
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12/11/2019
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis
In multi echo imaging, multiple T1/T2 weighted images of the same cross ...
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12/11/2019
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning
Currently there are several well-known approaches to non-intrusive appli...
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12/11/2019
Blind Denoising Autoencoder
The term blind denoising refers to the fact that the basis used for deno...
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12/11/2019
Recurrent Transform Learning
The objective of this work is to improve the accuracy of building demand...
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12/11/2019
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification
This work follows the approach of multi-label classification for non-int...
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12/10/2019
Deep Latent Factor Model for Collaborative Filtering
Latent factor models have been used widely in collaborative filtering ba...
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12/10/2019
Transformed Subspace Clustering
Subspace clustering assumes that the data is sepa-rable into separate su...
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12/10/2019
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning
Multi-echo magnetic resonance (MR) images are acquired by changing the e...
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10/17/2019
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring
Increasing population indicates that energy demands need to be managed i...
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10/17/2019
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine
The possibility of employing restricted Boltzmann machine (RBM) for coll...
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12/24/2018
Motion Blur removal via Coupled Autoencoder
In this paper a joint optimization technique has been proposed for coupl...
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12/24/2018
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
This work addresses the problem of reconstructing biomedical signals fro...
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05/27/2018
Hierarchical Representation Learning for Kinship Verification
Kinship verification has a number of applications such as organizing lar...
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02/22/2018
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis
Enhancing low resolution images via super-resolution or image synthesis ...
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01/07/2018
Indian Regional Movie Dataset for Recommender Systems
Indian regional movie dataset is the first database of regional Indian m...
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10/09/2017
Face Sketch Matching via Coupled Deep Transform Learning
Face sketch to digital image matching is an important challenge of face ...
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10/08/2017
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder
Soft biometric modalities have shown their utility in different applicat...
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12/22/2016
How to Train Your Deep Neural Network with Dictionary Learning
Currently there are two predominant ways to train deep neural networks. ...
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12/22/2016
Deep Blind Compressed Sensing
This work addresses the problem of extracting deeply learned features di...
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01/31/2016
Greedy Deep Dictionary Learning
In this work we propose a new deep learning tool called deep dictionary ...
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12/24/2015
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements
This work addresses the problem of estimating proton density and T1 maps...
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03/22/2015
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder
In this work we address the problem of real-time dynamic MRI reconstruct...
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01/10/2014
