Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
Image retargeting is the problem of adapting images for display on devices different than originally intended. This paper presents a method for adapting large images, such as thos...
We present a recognition-driven navigation system for large-scale 3D virtual environments. The proposed system contains three parts, virtual environment reconstruction, feature da...
The ability to automatically record the marks applied to paper documents on their electronic originals would preserve the information represented by those annotations. Users could...
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...