Data analysis often involves the comparison of complex objects. With the ever increasing
amounts and complexity of data, the demand for systems to help with these comparisons is …

Self-caring services are becoming more and more important for our daily life, especially
under the urgent situation of global aging. Big data such as massive historical medical …

Interactive visualization of large image collections is important and useful in many
applications, such as personal album management and user profiling on images. However …

We introduce a novel user interface and system for exploring extremely detailed 3D models
in a museum setting. Three-dimensional models and associated information are presented …

This paper describes the design and development of histoGraph, an interactive tool for
explorative visualization and collaborative investigation of historical social networks from …

Posets are discrete mathematical structures which are ubiquitous in a broad range of data
analysis and machine learning applications. Research connecting posets to the data …

Feature selection, which identifies representative features in observed data, can increase
the utility of health data for predictive diagnosis. Unlike feature extraction, such as PCA and …

This work presents a modified version of Hasse diagram technique, the weighted
Regularized Hasse (wR-Hasse), which aims to reduce the number of incomparabilities and …

Social network services have become widely used as an important tool to share rich
information; in such networks, making new friends is the most basic functionality to enable …

We introduce PileBars, a new class of animated thumbnail-bars aimed at easing the
browsing of very large image datasets (thousands of images). Since the bar is meant to be …