Applications such as providing a preview of personal albums (eg, Google Photos) or
suggesting thematic collections based on user interests (eg, Pinterest) require a …

Understanding and characterizing cancer heterogeneity not only generates new
mechanistic insights but can also lead to personalized treatments for patients. With …

Background Histology images comprise one of the important sources of knowledge for
phenoty** studies in systems biology. However, the annotation and analyses of …

Thanks to the capturing devices cost reduction and the advent of social networks, the size of
image collections is becoming extremely huge. Many works in the literature have addressed …

In our data driven world, categorization is of major importance to help end-users and
decision makers understanding information structures. Supervised learning techniques rely …

Exa-scale simulations can be hard to analyze because it is nearly impossible to store all
computed time-steps and other parameters. The Cinema Database provides a storage …

Digital cameras and social media lead to an ever-increasing number of digital images.
Large collections can be overwhelming for users and difficult to comprehend. As in other …

This paper presents a system for visualization of large collection of medical images. The
main goal of the system is to automatically generate a 2D representation by a projection that …

This paper presents two different strategies for visualizing multimodal image collections,
which are based on a representation strategy that fuses text and visual content in the same …

In our data driven world, clustering is of major importance to help end-users and decision
makers understanding information structures. Supervised learning techniques rely on …