Tracking via Robust Multi-task Multi-view Joint Sparse Representation

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A Survey on Multi-Task Learning (2017, methodology): “In [172], a multi-task decomposition dictionary learning method that follows the idea of [103] is applied to multi-view tracking.”
Multi-Task Multi-View Clustering (2016, unknown): “Index Terms—Multi-task multi-view clustering, multi-task clustering, multi-view clustering, co-clustering Ç”
MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking (2015, background): “[37] introduced sparse representations for tracking, subsequently adopted in many trackers [19, 51], in which the memory of the target appearance is modeled using a small set of target instances.”
Methodologies for Cross-Domain Data Fusion: An Overview (2015, background): “For instance, there are multi-view multitask learning approaches [29].”