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Recognizing group activities is challenging due to the di-culties in isolating individual entities, nding the respective roles played by the individuals and representing the complex interactions amo...
We present the group fused Lasso for detection of multiple change-points shared by a set of co-occurring one-dimensional signals.
In this paper, we consider the Group Lasso estimator of the covariance matrix of a stochastic process corrupted by an additive noise. We propose to estimate the covariance matrix in a high-dimensiona...
We establish estimation and model selection consistency, prediction and estimation bounds and persistence for the group-lasso estimator and model selector proposed by Yuan and Lin (2006) for least squ...

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