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<!DOCTYPE html>
<meta charset="UTF-8">
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<head>
<title>Igor's Site</title>
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<nav class="navbar navbar-default">
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<!-- start un-collapsed navbar-->
<ul class="nav navbar-nav">
<li role=""><a href="index.html">Home</a></li>
<li class="dropdown active">
<a href="#" data-toggle="dropdown" class="dropdown-toggle" class="active">Research <b class="caret"></b></a>
<ul class="dropdown-menu">
<li ><a href="research.html">Overview</a></li>
<li class="active"><a href="mmsbl.html">Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classification</a></li>
<li ><a href="facerecognition.html">Robust Bayesian Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition</a></li>
<li><a href="nmf.html">Unified Bayesian Approach to Non-Negative Matrix Factorization</a></li>
<li><a href="rsbl.html">Rectified Sparse Bayesian Learning</a></li>
<li><a href="speechdenoising.html">Speech Denoising Headset</a></li>
<li><a href="DepthVideoCompression.html">Kinect Depth Video Compression for Action Recognition</a></li>
<li><a href="Construction.html">Construction Worker Activity Recognition Using RGB-D Videos</a></li>
</ul>
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<li role="" ><a href="publications.html">Publications</a></li>
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<h1> Igor Fedorov </h1>
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<div class="container col-md-12 col-sm-12 row-md-offset-2">
<h2>Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classification</h2>
The purpose of this work is formulate a Bayesian framework capable of leveraging information from multiple data modalities to
jointly learn dictionaries for each modality.
</div>
</div>
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<h3> Relevant Publications </h3>
<ul class="list-unstyled">
<li>
<em><b>I. Fedorov</em></b>, B.D. Rao, T. Q. Nguyen, "Multimodal Sparse Bayesian Dictionary Learning Applied to Multimodal Data Classifiction." <em> IEEE International Conference on Acoustics, Speech and Signal Processing</em>, 2017.
</li>
</h4></li>
</ul>
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