With the increasing use of clusters in real-time applications, it has become essential to design high performance networks with Quality-of-ServiceQoS guarantees. In this paper, we...
Ki Hwan Yum, Eun Jung Kim, Chita R. Das, Aniruddha...
We propose a novel technique for tract-based comparison of DTI-indices between groups, based on a representation that is estimated while matching fiber tracts. The method involves ...
Matthan Caan, Lucas J. van Vliet, Charles B. L. ...
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Flow cytometry technique produces large, multidimensional datasets of properties of individual cells that are helpful for biomedical science and clinical research. This paper expl...
Lin Liu, Li Xiong, James J. Lu, Kim M. Gernert, Vi...