In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...
Ideally, enterprise administrators could specify fine-grain policies that drive how the underlying switches forward, drop, and measure traffic. However, existing techniques for fl...
Minlan Yu, Jennifer Rexford, Michael J. Freedman, ...
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Computing preference queries has received a lot of attention in the database community. It is common that the user is unsure of his/her preference, so care must be taken to elicit...
Feng Zhao, Gautam Das, Kian-Lee Tan, Anthony K. H....
The standard approach to speaker verification is to extract cepstral features from the speech spectrum and model them by generative or discriminative techniques. We propose a nov...