Factorized Latent Spaces with Structured Sparsity

NeurIPS 2010 Yangqing JiaMathieu SalzmannTrevor Darrell

Recent approaches to multi-view learning have shown that factorizing the information into parts that are shared across all views and parts that are private to each view could effectively account for the dependencies and independencies between the different input modalities. Unfortunately, these approaches involve minimizing non-convex objective functions... (read more)

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