In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...
The paper deals with the use of formant features in dynamic time warping based speech recognition. These features can be simply visualized and give a new insight into understanding...
The paper develops a self-tuning resource aware partial evaluation technique for Prolog programs, which derives its own control strategies tuned for the underlying computer archit...
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...