In this paper, we proposed a fast and accurate human pose estimation framework that combines top-down and bottom-up methods. The framework consists of an initialization stage and a...
Yanchao Su, Haizhou Ai, Takayoshi Yamashita, Shiho...
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
The goal of this work was to explore the optimization of the feature extraction module (front-end) parameters to improve bird species recognition. We explored optimizing the spect...
Martin Graciarena, Michelle Delplanche, Elizabeth ...
We introduce a technique for creating novel, textuallyenhanced thumbnails of Web pages. These thumbnails combine the advantages of image thumbnails and text summaries to provide c...
Allison Woodruff, Andrew Faulring, Ruth Rosenholtz...
We present a typed calculus IL ("intermediate language") which supports the embedding of ML-like (strict, eager) and Haskell-like (non-strict, lazy) languages, without fa...
Ben Rudiak-Gould, Alan Mycroft, Simon L. Peyton Jo...