We present a technique for creating a smoothly varying sequence of procedural textures that interpolates between arbitrary input samples of texture. This texture transformation us...
Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes α-expansion moves and iterative refinement ove...
Abstract. Many new applications involving moving objects require the collection and querying of trajectory data, so efficient indexing methods are needed to support complex spatio...
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
In this paper we present a novel face classification system
where we represent face images as a spatial arrangement
of image patches, and seek a smooth non-linear functional
map...