Studying marine plankton is critical to assessing the health of the world's oceans. To sample
these important populations, oceanographers are increasingly using specially engineered in …

In this paper, we examine whether or not information theory can be one of the theoretic
frameworks for visualization. We formulate concepts and measurements for qualifying visual …

We propose a novel method for detecting mesh saliency, a perceptually-based measure of
the importance of a local region on a 3D surface mesh. Our method incorporates global …

In recent years, there is an emerging direction that leverages information theory to solve
many challenging problems in scientific data analysis and visualization. In this article, we …

In this paper, we present an abstract model of visualization and inference processes, and
describe an information-theoretic measure for optimizing such processes. In order to obtain …

Reliable estimation of visual saliency is helpful to guide many computer graphics tasks
including shape matching, simplification, segmentation, etc. Inspired by basic principles …

We treat streamline selection and viewpoint selection as symmetric problems which are
formulated into a unified information-theoretic framework. This is achieved by building two …

Multimodal visualization aims at fusing different data sets so that the resulting combination
provides more information and understanding to the user. To achieve this aim, we propose a …

In this letter, we propose a novel lightweight network HiNet: hybrid inherited feature learning
network and its variants: HiNet-ReLU, HiNet-Concat, Large Scale HiNet, 2 stack HiNet and 4 …

In this paper we present a framework to define transfer functions from a target distribution
provided by the user. A target distribution can reflect the data importance, or highly relevant …