Ben-Ari et al.
Canonical correlations can be recovered from unpaired data alone
Ben-Ari et al. introduce Unpaired CCA, a linear method that approaches paired CCA performance while training without any corresponding samples.
Top University
Nir Ben-Ari · Ronen Talmon · Uri Shaham
Bar-Ilan University · Technion
Research Digest··2 min read
The authors present Unpaired CCA (UCCA), the first extension of canonical correlation analysis that learns maximally correlated projections when no paired samples are available.
Why this paper
From Technion and Bar-Ilan University
In one line
Unpaired CCA recovers true canonical correlations from completely unpaired data by tying the problem to the Quadratic Assignment Problem.
What we could check
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- ·No weights link found
- ·No dataset link found
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- ✓Limitations stated by the authors (2 noted)
- ·No benchmark numbers found
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