Learn More
Keywords: Non-linear non-Gaussian dynamic processes Independent component analysis Non-linear contribution plot TE process a b s t r a c t This paper proposes a novel approach for dealing with fault detection of multivariate processes , which will be referred to as kernel dynamic independent component analysis (KDICA). The main idea of KDICA is to carry out(More)
Many methods have recently been proposed for subspace clustering, but they are often unable to handle incomplete data because of missing entries. Using matrix completion methods to recover missing entries is a common way to solve the problem. Conventional matrix completion methods require that the matrix should be of low-rank intrinsically, but most(More)
  • 1