Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
Since the work by Osher and Sethian on level-sets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In...
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
This paper concerns the problem of how to exploit parallelism during the phases of compilation involving syntaxdirected analysis and translation. In particular, we address the pro...
This paper introduces a correlation histogram method for analyzing the different components of depth-enhanced 3D video representations. Depth-enhanced 3D representations such as m...