Abstract— We propose a framework based on signatures extracted from audio and video streams for automatically measuring and maintaining synchronization between the two streams. T...
PRAM (Parallel Random Access Model) has been widely regarded a desirable parallel machine model for many years, but it is also believed to be "impossible in reality." As...
The characterization of signals and images in manifolds often lead to efficient dimensionality reduction algorithms based on manifold distance computation for analysis or classi...
Finding similar images in a large database is an important, but often computationally expensive, task. In this paper, we present a two-tier similar-image retrieval system with the...
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...