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Motivations Ordinary clustering: k-means/median Given P âŠ‚ R d , group it into k clusters and minimize the average (squared) distance from each point to its closest mean/median point. Localityâ€¦ (More)

- Yangwei Liu, Hu Ding, Ziyun Huang, Jinhui Xu
- ISAAC
- 2016

In this paper, we consider the distributed version of Support Vector Machine (SVM) under the coordinator model, where all input data (i.e., points in R space) of SVM are arbitrarily distributed amongâ€¦ (More)

- Andrew J. Fritz, Branislav Stojkovic, Hu Ding, Jinhui Xu, Sambit Bhattacharya, Ronald Berezney
- PLoS Computational Biology
- 2014

The interchromosomal organization of a subset of human chromosomes (#1, 4, 11, 12, 16, 17, and 18) was examined in G1 and S phase of human WI38 lung fibroblast and MCF10A breast epithelial cells.â€¦ (More)

- Chuishi Meng, Wenjun Jiang, +4 authors Yun Cheng
- SenSys
- 2015

With the popular usage of mobile devices and smartphones, crowd sensing becomes pervasive in real life when human acts as sensors to report their observations about entities. For the same entity,â€¦ (More)

In this paper, we study a prototype learning problem, called Median Point-Set, whose objective is to construct a prototype for a set of given point-sets so as to minimize the total Earth Moverâ€™sâ€¦ (More)

The Chinese Loess Plateau suffers from serious gully erosion induced by natural and human causes. Gully-affected areas detection is the basic work in this region for gully erosion assessment andâ€¦ (More)

Support Vector Machine (SVM) is a fundamental technique in machine learning. A long time challenge facing SVM is how to deal with outliers (caused by mislabeling), as they could make the classes inâ€¦ (More)

- Hu Ding, Ronald Berezney, Jinhui Xu
- NIPS
- 2013

In this paper, we study the following new variant of prototype learning, called k-prototype learning problem for 3D rigid structures: Given a set of 3D rigid structures, find a set of k rigidâ€¦ (More)

Given a set of different clustering solutions to a unified dataset, ensemble clustering is to aggregate them to yield a more accurate and robust solution. In recent years, ensemble clustering hasâ€¦ (More)

- Hu Ding, XU JINHUI
- 2013

In this paper, we consider the problem (denoted as EMDRT) of minimizing the earth moverâ€™s distance between two sets of weighted points A and B in a fixed dimensional Rd space under rigidâ€¦ (More)