We present a computer audition system that can both annotate novel audio tracks with semantically meaningful words and retrieve relevant tracks from a database of unlabeled audio c...
Douglas Turnbull, Luke Barrington, D. Torres, Gert...
Although there has been much written about various information integration technologies, little has been said regarding how to combine these technologies together to build an enti...
Greg Barish, Yi-Shin Chen, Dan DiPasquo, Craig A. ...
In this paper, we study the problem of using an annotated corpus in English for the same natural language processing task in another language. While various machine translation sy...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...