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<html>
<title>Joseph J. Pfeiffer III</title>
<head>
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<img src="./pic.jpg" width="150">
</div>
<div style="font-size: x-large; font-weight: bold; border-bottom: blue 2px solid">Joel Pfeiffer</div>
<div style="margin: 2px 0px 2px 0px">
<div style="font-size: x-small; font-style: italic">Joseph J. Pfeiffer III</div>
</div>
<div style="font-size: small">jpfeiffe at gmail dot com</div>
</div>
<div style="font-size: small; margin: 5px 0px 5px 0px"><p>
<a href="https://secure.bingads.microsoft.com/">Microsoft BingAds</a> <br><br>
<a href="https://twitter.com/jjpfeiffer3" class="twitter-follow-button" data-show-count="false">Follow @jjpfeiffer3</a>
<script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+'://platform.twitter.com/widgets.js';fjs.parentNode.insertBefore(js,fjs);}}(document, 'script', 'twitter-wjs');</script>
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<td class="padding2" rowspan="2" valign="top">
<div class="heading" id="research" style="margin: 0px 0px 10px 0px">Research</div>
<div style="margin: 0px 0px 5 px 0px">
<p> Senior ML scientist at Microsoft Bing Ads working on a variety of ML topics. I graduated with a PhD a few years ago from Purdue, studying machine learning in relational domains with Professor <a href="http://www.cs.purdue.edu/homes/neville/">Jennifer Neville</a>.
</p>
<p>
</div>
<br><br>
<div class="heading" id="Codes" style="margin: 0px 0px 10px 0px">Codes</div>
<p> A collection of code for various models, generally written in Python for the simplest forms of representations. Several of these are done simply for my own practice/experience and I think they could be useful for someone else looking for example code. Some of these are implementations of other work and some from my own work above.
</p>
<div class="pub_name">Relational Machine Learning Library</div>
Collection of RML codes in Python!
<br>
<a href="http://github.com/jpfeiffe/rmllib" style="font-size: small">[RMLLib]</a>
<br>
<div class="pub_name">Attributed Graph Models</div>
Implementation of the above AGM model (WWW2014), using the simple FCL proposal distribution. Uses a simple 0/1 label value. Requires Python w/ matplotlib. The first implementation uses the Preferential Attachment model of Barabasi/Albert to create a degree distribution for AGM/FCL, while the second version learns/samples from an observed network.
<br>
<a href="public_code/AGM_PA_Generator.py" style="font-size: small">[PA-AGM-FCL]</a>
<a href="public_code/AGM_Generator.py" style="font-size: small">[AGM-FCL]</a>
<br>
<div class="pub_name">Data Augmentation, Stochastic EM and EM</div>
Implementation of the above ICDM2014 paper on Data Augmentation. Has some tests and comparisons between DA, Stochastic EM and EM for Naive Bayes and Logistic Regression. Implemented in C++ and contains a distribution of liblinear and eigen3. Please read and carry on any appropriate copyright notices for these works.
<br>
<a href="public_code/ICDM_DA_Distribute.tar.gz" style="font-size: small">[Code]</a>
<br>
<div class="pub_name">Log-Linear models</div>
A simple Python implementation for learning log-linear (maximum entropy) models. Just uses 0/1 feature/label values, and implemented for my own practice. Requires Python and scipy/numpy; I implemented both calling scipy's BFGS optimization, as well as my own GD method for fun.
<br>
<a href="public_code/BFGS_LogLinearModel.py" style="font-size: small">[BFGS]</a>
<a href="public_code/GD_LogLinearModel.py" style="font-size: small">[GD]</a>
<br><br>
<div class="heading" id="Publications" style="margin: 0px 0px 10px 0px">Publications</div>
<div class="pub_name">Causal Inference In The Presence of Interference In Sponsored Search Advertising</div>
Razieh Nabi, Joseph J. Pfeiffer III, Murat Bayir, Denis Charles and Emre Kiciman<br>
NeurIPS Causal Learning Workshop<br>
<!--<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a> -->
<a href="https://arxiv.org/abs/2010.07458" style="font-size: small">[arXiv]</a>
<a href="javascript:sizeTbl('neurips20')", style="font-size: small">[BibTeX]</a>
<div id=neurips20 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {neurips20,
author = {Razieh Nabi, Joseph J. {Pfeiffer III}, Murat Bayir, Denis Charles and Emre Kiciman},
title = {Causal Inference In The Presence of Interference In Sponsored Search Advertising},
year = {2020},
booktitle = {NeurIPS Causal Learning Workshop}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction</div>
Shuxi Zeng, Emre Kiciman, Denis Charles, Joseph J. Pfeiffer III and Murat Bayir<br>
WSDM 2021<br>
<!--<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a> -->
<a href="https://arxiv.org/abs/1806.02794" style="font-size: small">[arXiv]</a>
<a href="javascript:sizeTbl('wsdm2021')", style="font-size: small">[BibTeX]</a>
<div id=wsdm2021 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {wsdm2021,
author = {Shuxi Zeng, Emre Kiciman, Denis Charles, Joseph J. {Pfeiffer III} and Murat Bayir},
title = {Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction},
year = {2021},
booktitle = {WSDM}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Unbiased Estimation of the Value of an Optimized Policy</div>
Elon Portugaly and Joseph J. Pfeiffer III<br>
MSJAR 2018<br>
<!--<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a> -->
<a href="https://arxiv.org/abs/1806.02794" style="font-size: small">[arXiv]</a>
<a href="javascript:sizeTbl('msjar2018')", style="font-size: small">[BibTeX]</a>
<div id=msjar2018 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {msjar2018,
author = {Elon Portugaly and Joseph J. {Pfeiffer III}},
title = {Unbiased Estimation of the Value of an Optimized Policy},
year = {2018},
booktitle = {Microsoft Journal of Applied Research 2018}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Scalable and exact sampling method for probabilistic generative graph models</div>
Sebastian Moreno, Jennifer neville and Joseph J. Pfeiffer III<br>
Data Mining and Knowledge Discovery 2018<br>
<!--<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a> -->
<a href="https://www.cs.purdue.edu/homes/neville/papers/moreno-et-al-dmkd2018.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('dmkd2018')", style="font-size: small">[BibTeX]</a>
<div id=dmkd2018 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {dmkd2018,
author = {Sebastian Moreno and Jennifer Neville and Joseph J. {Pfeiffer III}},
title = {Scalable and exact sampling method for probabilistic generative graph models},
year = {2018},
booktitle = {Data Mining and Knowledge Discovery}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Modeling Website Topic Cohesion at Scale to Improve Webpage Classification</div>
Dhivya Eswaran, Paul N. Bennett and Joseph J. Pfeiffer III<br>
In Proceedings of 38th Annual ACM SIGIR Conference (SIGIR 2015)<br>
<!--<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a> -->
<a href="javascript:sizeTbl('sigir2015')", style="font-size: small">[BibTeX]</a>
<div id=sigir2015 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {sigir2015,
author = {Dhivya Eswaran and Paul N. Bennett and Joseph J. {Pfeiffer III}},
title = {Modeling Website Topic Cohension at Scale to Improve Webpage Classification},
year = {2015},
booktitle = {Proceedings of 38th Annual SIGIR Conference (SIGIR 2015)}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Overcoming relational learning biases to accurately predict preferences in large scale networks</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul N. Bennett<br>
In Proceedings of 24th International World Wide Web Conference (WWW 2015) <br>
<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('www2015')", style="font-size: small">[BibTeX]</a>
<div id=www2015 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {www2015,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks},
year = {2015},
booktitle = {Proceedings of the 24th International World Wide Web Conference (WWW 2015)}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Incorporating Assortativity and Degree Dependence into Scalable Network Models</div>
Stephen Mussman, John Moore, Joseph J. Pfeiffer III and Jennifer Neville <br>
In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015)
<br>
<a href="pubs/AAAI2015_Assortativity.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('aaai2015')", style="font-size: small">[BibTeX]</a>
<div id=aaai2015 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {aaai2015,
author = {Steven Mussman and John Moore and Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Incorporating Assortativity and Degree Dependence into Scalable Network Models},
year = {2015},
booktitle = {Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul Bennett <br>
In Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)
<br>
<a href="pubs/ICDM2014_DA_Final.pdf" style="font-size: small">[PDF]</a>
<a href="pubs/ICDM2014_DA_Presentation.pdf" style="font-size: small">[Slides]</a>
<a href="javascript:sizeTbl('icdm2014a')", style="font-size: small">[BibTeX]</a>
<div id=icdm2014a style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {pfeiffer_icdm2014,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul Bennett},
title = {Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning},
year = {2014},
booktitle = {Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">A Scalable Method for Exact Sampling from Kronecker Models</div>
Sebastian Moreno, Joseph J. Pfeiffer III, Jennifer Neville and Sergey Kirshner <br>
In Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)
<br>
<a href="pubs/ICDM2014_GroupSampling.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('icdm2014b')", style="font-size: small">[BibTeX]</a>
<div id=icdm2014b style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {moreno_icdm2014,
author = {Sebastian Moreno and Joseph J. {Pfeiffer III} and Jennifer Neville and Sergey Kirshner},
title = {A Scalable Method for Exact Sampling from Kronecker Models},
year = {2014},
booktitle = {Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul Bennett <br>
In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014)
<br>
<a href="pubs/CIKM2014_ActiveExploration.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('cikm2014')", style="font-size: small">[BibTeX]</a>
<div id=cikm2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {cikm2014,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul Bennett},
title = {Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference},
year = {2014},
booktitle = {Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Attributed Graph Models: Towards the Sharing of Relational Data</div>
Joseph J. Pfeiffer III, Sebastian Moreno, Timothy La Fond, Jennifer Neville and Brian Gallagher <br>
KDD at Bloomberg, 2014
<br>
<!--<a href="pubs/SNAKDD2014_Assortativity.pdf" style="font-size: small">[PDF]</a> -->
<a href="pubs/KDD_At_Bloomberg2014_AGM.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('bloombergkdd2014')", style="font-size: small">[BibTeX]</a>
<div id=bloombergkdd2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {bloombergkdd2014,
author = {Joseph J. {Pfeiffer III} and Sebastian Moreno and Timothy {La Fond} and Jennifer Neville and Brian Gallagher},
title = {Attributed Graph Models: Towards the Sharing of Relational Data},
year = {2014},
booktitle = {KDD at Bloomberg}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Assortativity in Chung Lu Random Graph Models</div>
Stephen Mussman, John Moore, Joseph J. Pfeiffer III and Jennifer Neville <br>
In Proceedings of the 8th Workshop on Social Network Mining and Analysis (SNAKDD 2014)
<br>
<a href="pubs/SNAKDD2014_Assortativity.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('snakdd2014')", style="font-size: small">[BibTeX]</a>
<div id=snakdd2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {snakdd2014,
author = {Steven Mussman and John Moore and Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Assortativity in Chung Lu Random Graph Models},
year = {2014},
booktitle = {Proceedings of the 8th Workshop on Social Network Mining and Analysis (SNAKDD 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Attributed Graph Models: Modeling network structure with correlated attributes</div>
Joseph J. Pfeiffer III, Sebastian Moreno, Timothy La Fond, Jennifer Neville and Brian Gallagher <br>
In Proceedings of the 23rd International World Wide Web Conference (WWW 2014), 2014
<br>
<a href="pubs/AGM_WWW2014.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('www2014')", style="font-size: small">[BibTeX]</a>
<a href="agm/agm.html" style="font-size: small">[Datasets]</a>
<a href="pubs/WWW2014_AGM_Presentation.pdf" style="font-size: small">[Presentation - PDF]</a>
<div id=www2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {www2014,
author = {Joseph J. {Pfeiffer III} and Sebastian Moreno and Timothy {La Fond} and Jennifer Neville and Brian Gallagher},
title = {Attributed Graph Models: Modeling network structure with correlated attributes.},
year = {2014},
booktitle = {Proceedings of the 23rd International World Wide Web Conference (WWW 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Combining Active Sampling with Parameter Estimation and Prediction in Single Networks</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul N. Bennett <br>
In Proceedings of the ICML Structured Learning Workshop, 2013
<br>
<a href="pubs/ActiveSampling_SLG2013.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('slg2013')", style="font-size: small">[BibTeX]</a>
<div id=slg2013 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {slg2013,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Combining Active Sampling with Parameter Estimation and Prediction in Single Networks},
year = {2013},
booktitle = {Proceedings of the ICML Structured Learning Workshop}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Incentivized Sharing in Social Networks</div>
Joseph J. Pfeiffer III and Elena Zheleva <br>
In Proceedings of the First International Workshop on Online Social Systems, 2012
<br>
<a href="pubs/IncentivizedSharing_WOSS2012.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('woss2012')", style="font-size: small">[BibTeX]</a>
<div id=woss2012 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {woss2012,
author = {Joseph J. {Pfeiffer III} and Elena Zheleva},
title = {Incentivized Sharing in Social Networks},
year = {2012},
booktitle = {Proceedings of the First International Workshop on Online Social Systems}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures</div>
Joseph J. Pfeiffer III, Timothy La Fond, Sebastian Moreno and Jennifer Neville <br>
In Proceedings of the Fourth ASE/IEEE International Conference on Social Computing, 2012
<br>
<a href="pubs/Pfeiffer_TCL_SocialCom2012.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('socialcom2012')", style="font-size: small">[BibTeX]</a>
<div id=socialcom2012 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {socialcom2012,
author = {Joseph J. {Pfeiffer III} and Timothy {La Fond} and Sebastian Moreno and Jennifer Neville},
title = {Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures},
year = {2012},
booktitle = {Fourth ASE/IEEE International Conference on Social Computing (SocialCom)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Active Sampling of Networks</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul N. Bennett <br>
In Proceedings of the 10th Workshop on Mining and Learning with Graphs, 2012
<br>
<a href="pubs/ActiveSampling_MLG2012.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('mlg2012')", style="font-size: small">[BibTeX]</a> 
<a href="pubs/ActiveSampling_MLG2012.ppt" style="font-size: small">[PPT]</a>
<div id=mlg2012 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {mlg2012,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Active Sampling of Networks},
year = {2012},
booktitle = {10th Workshop on Mining and Learning with Graphs (MLG)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure</div>
Joseph J. Pfeiffer III and Jennifer Neville <br>
Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM, 2011
<br>
<a style="font-size: small" href="pubs/ProbGraphMetrics-ICWSM2011.pdf">[PDF]</a>
<a href="javascript:sizeTbl('icwsm2011')", style="font-size: small">[BibTeX]</a>
<a href="http://arxiv.org/abs/1104.0319" style="font-size: small">[Extended Version]</a>
<a href="enron.html" style="font-size: small">[MySQL 5.5 Database File]</a>
<div id=icwsm2011 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {icwsm2011,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure},
year = {2011},
booktitle = {Proceedings of the 5th Interational AAAI Converence on Weblogs and Social Media, ICWSM 2011}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Using Touch to Localize Flexible Materials During Manipulation</div>
Robert Platt, Jr., Frank Permenter, Joseph J. Pfeiffer III<br>
IEEE Transactions on Robotics, Special issue on a robotic sense of touch. June, 2011
<br>
<a href="pubs/BumpFinder-TRO2011.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('tro2011')", style="font-size: small">[BibTeX]</a>
<div id=tro2011 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {tro2011,
author = {Robert {Platt, Jr.} and Frank Permenter and Joseph J. {Pfeiffer III}},
title = {Using Touch to Localize Flexible Materials During Manipulation},
year = {2011},
booktitle = {IEEE Transactions on Robotics, Special Issue on a Robotic Sense of Touch. June, 2011}
}
</pre>
</blockquote>
</div>
<div class="pub_name">Probabilistic Paths and Centrality in Time</div>
Joseph J. Pfeiffer III and Jennifer Neville <br>
Proceedings of the 4th SNA-KDD Workshop, KDD, 2010. <br>
<a href="pubs/ProbPaths-SNAKDD2010.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('snakdd2010')", style="font-size: small">[BibTeX]</a>
<a href="pubs/SNAKDD2010.pptx" style="font-size: small">[PPTX]</a>
<div id=snakdd2010 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {snakdd2010,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Probabilistic Paths and Centrality in Time},
year = {2010},
booktitle = {Proceedings of the 4th SNA-KDD Workshop, KDD, 2010}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Inferring hand-object configuration directly from tactile data</div>
Robert Platt, Jr., Frank Permenter, and Joseph J. Pfeiffer III<br>
Electronically published proceeding of the Mobile Manipulation Workshop, IEEE Conference on Robotics and Automation (ICRA), May 2010.
<br>
<a href="pubs/BumpFinder-ICRA2010.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('mmwicra2010')", style="font-size: small">[BibTeX]</a>
<div id=mmwicra2010 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {mmwicra2010,
author = {Robert {Platt, Jr.} and Frank Permenter and Joseph J. {Pfeiffer III}},
title = {Inferring hand-object configuration directly from tactile data},
year = {2010},
booktitle = {Electronically published proceeding of the Mobile Manipulation Workshop, IEEE Conference on Robotics and Automation (ICRA), May 2010.}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">A General Framework for Reconciling Multiple Weak segmentations of an Image</div>
Soumya Ghosh, Joseph J. Pfeiffer III and J. Mulligan. <br>
IEEE Workshop on Applications of Computer Vision, 2009. <br>
<a href="pubs/ComboSeg-WACV2009.pdf" style="font-size: small">[PDF]</a> 
<a href="javascript:sizeTbl('wacv2009')", style="font-size: small">[BibTeX]</a>
<div id=wacv2009 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {wacv2009,
author = {Soumya Ghosh and Joseph J. {Pfeiffer III} and Jane Mulligan},
title = {A General Framework for Reconciling Multiple Weak Segmentations of an Image},
year = {2009},
booktitle = {IEEE Workshop on Applications of Computer Vision}
}
</pre>
</blockquote>
</div>
<br><br>
<div class="pub_name">Overcoming Uncertainty for Within-Network Relational Machine Learning</div>
Joseph J. Pfeiffer III <br>
Ph.D. Thesis<br>
<a href="pubs/thesis.pdf" style="font-size: small">[PDF]</a> 
<a href="javascript:sizeTbl('thesis')", style="font-size: small">[BibTeX]</a>
<div id=thesis name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@phdthesis {thesis,
author = {Joseph J. {Pfeiffer III}},
title = {Overcoming Uncertainty for Within-Network Relational Machine Learning},
year = {2015},
month = May,
school = {Purdue University}
}
</pre>
</blockquote>
</div>
</tr>
</table>
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