The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
Implementations that load XML documents and give access to them via, e.g., the DOM, suffer from huge memory demands: the space needed to load an XML document is usually many times...
We present a novel approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local evidence, ou...
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
In this paper, a recursive algorithm that can build complex tree structure quickly is presented briefly. The plant structural growth is based on a dual-scale automaton, in which â...
Meng-Zhen Kang, Philippe de Reffye, Jean Fran&cced...
In this work two indexing approaches are presented for case-based reasoning. The first is a hybrid technique which uses a combination of a matrix structure and a tree structure to...
Public-key based certificates provide a standard way to prove one's identity, as attested by some certificate authority (CA). However, plain certificates provide a binary ide...
It is important to design an energy efficient data gathering tree structure for wireless sensor networks. As for the energy efficiency, network's overall energy consumption an...
We consider the use of a static context tree for binary image compression. The contexts are stored in the leaves of a variable-depth binary tree. The tree structure itself is full...