We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
Comparative analysis of the threshold SNR and/or sample support values where genuine maximum likelihood DOA estimation starts to produce “outliers” is conducted for unconditio...
In this paper, we look at two issues which could affect the performance of value prediction on wide-issue ILP processors. One is the large number of accesses to the value predicti...
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
Temporal prediction in standard video coding is performed in the spatial domain, where each pixel is predicted from a motioncompensated reconstructed pixel in a prior frame. This ...