We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Abstract The modeling of a landscape environment is a cognitive activity that requires appropriate spatial representations. The research presented in this paper introduces a struct...
Jean-Marie Le Yaouanc, Eric Saux, Christophe Clara...
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
In this paper, we propose a text representation model, Tensor Space Model (TSM), which models the text by multilinear algebraic high-order tensor instead of the traditional vector...
Ning Liu, Benyu Zhang, Jun Yan, Zheng Chen, Wenyin...
In this paper, an internal design model called FunState (functions driven by state machines) is presented that enables the representation of different types of system components a...