— While multicast has been studied extensively in many domains such as content streaming and file sharing, there is little research applying it to synchronous collaborations invo...
We propose a novel method of robustly and automatically creating surface meshes from the very sparsely populated 3D point clouds typically produced by Structure from Motion algori...
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Obtaining an accurate multiple alignment of protein sequences is a difficult computational problem for which many heuristic techniques sacrifice optimality to achieve reasonable r...
The accurate localization of facial features plays a fundamental
role in any face recognition pipeline. Constrained
local models (CLM) provide an effective approach to localizati...