In this paper, still images are modeled by hierarchical tree structures and object relational graphs. These modeling concepts can be described naturally using XML schema. We intro...
Network-centricity is a concept under consideration as a useful paradigm for complex organizational operations, combining the strengths of bureaucracy with the innovative possibil...
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
We give a new construction of strongly aperiodic set of tiles in H2 , exhibiting a kind of hierarchical structure, simplifying the central framework of Margenstern’s proof that t...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...