Fetching the paper…
Reading the bibliography…
We present RandomizedCCA, a randomized algorithm for computing canonical analysis, suitable for large datasets stored either out of core or on a distributed file system.
Relations between two sets of variates
Harold Hotelling · 1936
Earlier work this paper cites.
Numerical methods for computing angles between linear subspaces
Ake Björck and Gene H Golub · 1973
Earlier work this paper cites.
On a multivariate eigenvalue problem, part i: Algebraic theory and a power method
Moody T Chu and J Loren Watterson · 1993
Earlier work this paper cites.
Europarl: A parallel corpus for statistical machine translation
Philipp Koehn · 2005
Earlier work this paper cites.
Correlational spectral clustering
Matthew B Blaschko and Christoph H Lampert · 2008
Earlier work this paper cites.
Multi-view clustering via canonical correlation analysis
Kamalika Chaudhuri, Sham M Kakade, Karen Livescu, and Karthik Sridharan · 2009
Earlier work this paper cites.
A new learning paradigm: Learning using privileged information
Vladimir Vapnik and Akshay Vashist · 2009
Cited alongside, same era.
Feature hashing for large scale multitask learning
Kilian Weinberger, Anirban Dasgupta, John Langford, Alex Smola, and Josh Attenberg · 2009
Cited alongside, same era.
Multi-view learning of word embeddings via cca
Paramveer Dhillon, Dean P Foster, and Lyle H Ungar · 2011
Cited alongside, same era.
Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
Nathan Halko, Per-Gunnar Martinsson, and Joel A Tropp · 2011
Cited alongside, same era.
Computing absolute maximum correlation
Lei-Hong Zhang and Moody T Chu · 2011
Cited alongside, same era.
A risk comparison of ordinary least squares vs ridge regression
Paramveer S Dhillon, Dean P Foster, Sham M Kakade, and Lyle H Ungar · 2013
Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval
Yunchao Gong, Svetlana Lazebnik, Albert Gordo, and Florent Perronnin · 2013
Later among the works it cites.
Correlated random features for fast semi-supervised learning
Brian McWilliams, David Balduzzi, and Joachim Buhmann · 2013
Later among the works it cites.
Improving vector space word representations using multilingual correlation
Manaal Faruqui and Chris Dyer · 2014
Closest in time.
Randomized nonlinear component analysis
David Lopez-Paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani, and Bernhard Schölkopf · 2014
Closest in time.
Large scale canonical correlation analysis with iterative least squares
Yichao Lu and Dean P Foster · 2014
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.