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Poster
Graph Regularization for Maximum Variance Unfolding with an Application to Sensor Localization
Kilian Q Weinberger · Fei Sha · Qihui Zhu · Lawrence Saul
Author Information
Kilian Q Weinberger (Cornell University / ASAPP Research)
Fei Sha (University of Southern California (USC))
Qihui Zhu (University of Pennsylvania)
Lawrence Saul (UC San Diego)
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2020 Session: Orals & Spotlights Track 01: Representation/Relational »
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2018 Poster: Synthesize Policies for Transfer and Adaptation across Tasks and Environments »
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2018 Spotlight: Synthesize Policies for Transfer and Adaptation across Tasks and Environments »
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2017 Workshop: Optimal Transport and Machine Learning »
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2017 Poster: An Empirical Study on The Properties of Random Bases for Kernel Methods »
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2015 : Do Shallow Kernel Methods Match Deep Neural Networks »
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2015 : Do Shallow Kernel Methods Match Deep Neural Networks? »
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2015 Poster: Fast Distributed k-Center Clustering with Outliers on Massive Data »
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2014 Workshop: Representation and Learning Methods for Complex Outputs »
Richard Zemel · Dale Schuurmans · Kilian Q Weinberger · Yuhong Guo · Jia Deng · Francesco Dinuzzo · Hal Daumé III · Honglak Lee · Noah A Smith · Richard Sutton · Jiaqian YU · Vitaly Kuznetsov · Luke Vilnis · Hanchen Xiong · Calvin Murdock · Thomas Unterthiner · Jean-Francis Roy · Martin Renqiang Min · Hichem SAHBI · Fabio Massimo Zanzotto -
2014 Poster: Diverse Sequential Subset Selection for Supervised Video Summarization »
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2013 Workshop: New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks »
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2013 Workshop: Output Representation Learning »
Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser -
2013 Poster: Reshaping Visual Datasets for Domain Adaptation »
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2013 Poster: Similarity Component Analysis »
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2012 Poster: Non-linear Metric Learning »
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2012 Poster: Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning »
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2012 Session: Oral Session 5 »
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2012 Poster: Semantic Kernel Forests from Multiple Taxonomies »
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2011 Workshop: Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity »
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2011 Poster: Learning a Tree of Metrics with Disjoint Visual Features »
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2011 Poster: Maximum Covariance Unfolding : Manifold Learning for Bimodal Data »
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2011 Poster: Co-Training for Domain Adaptation »
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2010 Workshop: Challenges of Data Visualization »
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2010 Talk: Manifold Learning »
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2010 Session: Oral Session 16 »
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2010 Poster: Large Margin Multi-Task Metric Learning »
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2010 Poster: Unsupervised Kernel Dimension Reduction »
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2010 Poster: Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development »
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2010 Poster: Decoding Ipsilateral Finger Movements from ECoG Signals in Humans »
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2009 Workshop: Statistical Machine Learning for Visual Analytics »
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2009 Poster: Kernel Methods for Deep Learning »
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2008 Poster: DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification »
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2008 Poster: Large Margin Taxonomy Embedding for Document Categorization »
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2008 Spotlight: Large Margin Taxonomy Embedding for Document Categorization »
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2008 Session: Oral session 1: Clustering »
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2007 Workshop: Machine Learning for Systems Problems (Part 2) »
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2007 Workshop: Machine Learning for Systems Problems (Part 1) »
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2007 Session: Session 7: Systems and Applications »
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2006 Workshop: Novel Applications of Dimensionality Reduction »
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2006 Poster: Large Margin Gaussian Mixture Models for Automatic Speech Recognition »
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2006 Talk: Large Margin Gaussian Mixture Models for Automatic Speech Recognition »
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