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10/14/2022
Neural Routing in Meta Learning
Meta-learning often referred to as learning-to-learn is a promising noti...
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06/13/2021
Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
The problem of simultaneous column and row subset selection is addressed...
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07/09/2019
Functional Brain Networks Discovery Using Dictionary Learning with Correlated Sparsity
Functional Magnetic Resonance Imaging (fMRI) helps constructing function...
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06/17/2019
AI-enabled Blockchain: An Outlier-aware Consensus Protocol for Blockchain-based IoT Networks
A new framework for a secure and robust consensus in blockchain-based Io...
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06/17/2019
An Outlier-aware Consensus Protocol for Blockchain-based IoT Networks Using Hyperledger Fabric
A new framework for a secure and robust consensus in blockchain-based Io...
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05/21/2019
Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas
Utilization of directional antennas is a promising solution for efficien...
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05/10/2019
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks
A new paradigm for large-scale spectrum occupancy learning based on long...
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05/10/2019
Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition
Source localization and radio cartography using multi-way representation...
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11/29/2018
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
The goal of data selection is to capture the most structural information...
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01/12/2017
Joint Dictionary Learning for Example-based Image Super-resolution
In this paper, we propose a new joint dictionary learning method for exa...
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08/28/2015
Missing Spectrum-Data Recovery in Cognitive Radio Networks Using Piecewise Constant Nonnegative Matrix Factorization
In this paper, we propose a missing spectrum data recovery technique for...
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01/06/2015
A Study on Clustering for Clustering Based Image De-Noising
In this paper, the problem of de-noising of an image contaminated with A...
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07/29/2013
Union of Low-Rank Subspaces Detector
The problem of signal detection using a flexible and general model is co...
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06/14/2013
Sparse Auto-Regressive: Robust Estimation of AR Parameters
In this paper I present a new approach for regression of time series usi...
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06/12/2013
