Data Fusion from Disparate Dissimilarities and Joint Optimization of Fidelity and Commensurability

My PhD thesis was on joint embedding of disparate dissimilarities for solving various inference tasks such as transfer learning, match detection and graph matching. I have dealt with various issues such as robustness to noise and compared with alternative approaches such as Canonical Correlational Analysis. Github repo