Background: Linking high-throughput experimental data with biological networks is a key step for understanding complex biological systems. Currently, visualization tools for large...
Ming Jia, Suh-Yeon Choi, Dirk Reiners, Eve Syrkin ...
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
In this paper we present an initial study of computer supported collaboration between visually impaired users based around the interactive browsing and manipulation of simple grap...
Many C++ extractors exist that produce syntax trees, call graphs, and metrics from C++ code, yet few offer integrated querying, navigation, and visualization of sourcecode-level f...
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...