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02/25/2018
Wide Compression: Tensor Ring Nets
Deep neural networks have demonstrated state-of-the-art performance in a...
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12/21/2017
Deep Unsupervised Clustering Using Mixture of Autoencoders
Unsupervised clustering is one of the most fundamental challenges in mac...
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03/17/2017
Block CUR : Decomposing Large Distributed Matrices
A common problem in large-scale data analysis is to approximate a matrix...
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02/24/2016
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals
The measurement and analysis of Electrodermal Activity (EDA) offers appl...
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03/20/2014
Matroid Bandits: Fast Combinatorial Optimization with Learning
A matroid is a notion of independence in combinatorial optimization whic...
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07/19/2012
Hierarchical Clustering using Randomly Selected Similarities
The problem of hierarchical clustering items from pairwise similarities ...
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12/23/2011
High-Rank Matrix Completion and Subspace Clustering with Missing Data
This paper considers the problem of completing a matrix with many missin...
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02/18/2011