3 papers
stat.ME2015
Sparsest Error Detection via Sparsity Invariant Transformation based Minimization
Suzhen Wang, Sheng Han, Zhiguo Zhang +1
This paper presents a new method, referred to here as the sparsity invariant transformation based minimization, to solve the minimization problem for an over-dete…
math.ST2014
New Accumulative Score Function Based Bound For Sparsity Level of L1 Minimization
Sheng Han, Suzhen Wang, Zhiguo Zhang
This paper discusses a fundamental problem in compressed sensing: the sparse recoverability of L1 minimization with an arbitrary sensing matrix. We develop an new accumulative scor…
cs.CV2014
-regularized Outlier Isolation and Regression
Sheng Han, Suzhen Wang, Xinyu Wu
This paper proposed a new regression model called -regularized outlier isolation and regression (LOIRE) and a fast algorithm based on block coordinate descent to solve this mo…