The mean shift algorithm, which is a nonparametric density
estimator for detecting the modes of a distribution on a
Euclidean space, was recently extended to operate on analytic
...
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Key frame extraction has been recognized as one of the important research issues in video information retrieval. Although progress has been made in key frame extraction, the exist...
Yueting Zhuang, Yong Rui, Thomas S. Huang, Sharad ...
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...