Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...
We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ RN be an N-pixel image, where each pixel p has value xp. The image...
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachli...
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
—Biometric authentication is emerging as the promising solution to conventional cryptography based authentication technologies. However, protecting users’ biometric templates s...
This article presents the most distinguishing features of the Argentinian web as found in a private sample of almost 10 million web pages from 150.000 sites collected in the early...
Gabriel Tolosa, Fernando Bordignon, Ricardo A. Bae...