May 17, 2017 · GMCF is a multi-stage procedure, which decomposes the observation matrix iteratively in a number of layers. In addition, GMCF further ...
In this paper, we propose a novel sequential factorization method, namely Graph regularized Multilayer Concept Factorization (GMCF) for clustering. GMCF is a ...
In this paper, we propose a novel sequential factorization method, namely Graph regularized Multilayer Concept Factorization (GMCF) for clustering. GMCF is a ...
This work proposes a novel method, called Concept Factorization with Optimal Graph Learning (CF_OGL), for data representation, which encourages the learned ...
This paper proposes a novel clustering approach, called Multilayer Concept Factorization (MCF), for data representation, a cascade connection of L mixing ...
Abstract—Matrix factorization techniques have been frequently applied in information retrieval, computer vision and pattern recog- nition.
Bibliographic details on Graph regularized multilayer concept factorization for data representation.
Graph-regularized concept factorization for multi-view ...
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Multi-view concept factorization (MVCF) [8] : the algorithm identifies the underlying coefficient matrices for each view, and then fuses them with a multi- ...
Abstract. In the computer vision and pattern recognition fields, how to effectively represent the data is very important. A good data representa-.
Graph regularized multilayer concept factorization for data representation. Previous studies have demonstrated that matrix factorization techniques, such as ...