12 citations · 19 across the 3 of their papers we have counts for
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cs.LG2014★ 6 cited
Discriminative Clustering with Relative Constraints
Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales +1
We study the problem of clustering with relative constraints, where each constraint specifies relative similarities among instances. In particular, each constraint $(x_i, x_j, x_k)…
cs.LG2014★ 1 cited
Active Metric Learning from Relative Comparisons
Sicheng Xiong, Rómer Rosales, Yuanli Pei +1
This work focuses on active learning of distance metrics from relative comparison information. A relative comparison specifies, for a data point triplet , that insta…
cs.LG2012★ 12 cited
Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario
Yan Yan, Romer Rosales, Glenn Fung +1
Learning algorithms normally assume that there is at most one annotation or label per data point. However, in some scenarios, such as medical diagnosis and on-line collaboration,mu…