Abstract: We present a block minorization-maximization (MM) algorithm to solve the row-sparse principal component analysis (RSPCA) problem. The RSPCA problem consists of orthogonality and row-sparsity ...
Abstract: Weighted sum-rate (WSR) maximization is a fundamental yet generally NP-hard problem in communication system design. Existing optimization-based methods ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
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