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We evaluate the proposed method on two synthetic datasets and two existing benchmark datasets. Experimental results demonstrate that our method not only boosts the activity recognition performance with considerably reduced annotation cost, but also enables adaptive daily activity analysis allowing the presence and detection of novel activities and patterns.Liver is an incompressible organ that maintains its volume during deformation caused by respiratory motion. Quantifying this deformation with the incompressible con