In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
We present a novel method to create perpetual animations from a small set of given keyframes. Existing approaches either are limited to re-sequencing large amounts of existing ima...
William Van Haevre, Fabian Di Fiore, Frank Van Ree...
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
: We propose a novel algorithm to register multiple 3D point sets within a common reference frame simultaneously. Our approach performs an explicit optimisation on the manifold of ...
Shankar Krishnan, Pei Yean Lee, John B. Moore, Sur...
Recent developments in biomedical imaging are producing massive data sets containing structures, such as fine filaments, that are difficult to visualize. In this paper, we describ...