Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences


UC Berkeley


Research Projects

Domain Adaptation with Multiple Latent Domains

Judith Hoffman, Kate Saenko1, Brian Kulis2 and Trevor Darrell

Defense Advanced Research Projects Agency

Domain adaptation is becoming increasingly popular as a research topic in object recognition. Recent methods successfully learn cross-domain transforms to map points between source and target domains, yet are either restricted to a single training domain, or assume that the separation into source domains is known a priori. We introduce a method for multi-domain adaptation based on learning nonlinear cross-domain transforms, that can be applied with both known or unknown (latent) domain labels. For the latent case, we develop a method based on a novel version of constrained clustering. Unlike many existing constrained clustering algorithms, ours can be shown to provably converge locally while satisfying all constraints.

1UC Berkeley, ICSI
2UC Berkeley, ICSI