When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
In previous work, we reported dramatic improvements in automatic speech recognition (ASR) and spoken language translation (SLT) gained by applying information extracted from spoke...
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...