Recommender systems attempt to match users’ preferences with items. To achieve this, they typically store and process a large amount of user profiles, item attributes, as well as an ever-increasing volume of user-generated feedback about those items. By mining user-generated data, such as reviews, a complex network consisting of users, items, and item properties can be created. Exploiting this ...

Deep generative neural networks have proven effective at both conditional and unconditional modeling of complex data distributions. Conditional generation enables interactive control, but creating new controls often requires expensive retraining. In this paper, we develop a method to condition generation without retraining the model. By post-hoc learning latent constraints, value functions that...

This paper presents a new inhomogeneous solid modeling paradigm for engineering design. The proposed paradigm can represent, model, and render multi-dimensional, physical attributes across any volumetric objects of complicated geometry and topology. A modeled object is formulated with a trivariate simplex spline defined over a tetrahedral decomposition of its 3D domain. Heterogeneous material a...

Space–time cube is often used as a visualization technique representing trajectories of moving objects in (geographic) space and time by three display dimensions (Hägerstrand 1970). Despite the recent advances allowing space–time cube visualization of clusters of trajectories, it is problematic to represent trajectory attributes. We propose a new time transformation—sequential ordering—that tra...

This paper presents an unique method for rendering complex shapes as fuzzy or diffuse objects inside virtual environments. It uses surface geometry that is converted into a voxel-like grid to specify the appearance of the shape. A particle system displays the outline of the object at runtime. Particles are allowed to move freely inside the voxel-grid but obtain certain attributes from the voxel...

Over the last twenty years, there has been a tremendous growth in the amount of private data collected about individuals. With the rapid growth in database, networking, and computing technologies, such data can be integrated and analyzed digitally. On the one hand, this has led to the development of data mining tools that aim to infer useful trends from this data. But, on the other hand, easy a...

Current graph visualization techniques gather information found in a database or a file and create output on the screen that represents that data. There are different types of layouts from which to choose, such as force-directed layouts, circle-layouts and spring layouts. These layouts are all either random, or based upon the edges in the graphs. They do not lend any weight to what the nodes mi...