6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2015★ 3 cited
A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping
Tameem Adel, Alexander Wong, Daniel Stashuk
In this study, a spectral graph-theoretic grouping strategy for weakly supervised classification is introduced, where a limited number of labelled samples and a larger set of unlab…
cs.CV2015★ 3 cited
Affine and Regional Dynamic Time Warpng
Tsu-Wei Chen, Meena Abdelmaseeh, Daniel Stashuk
Pointwise matches between two time series are of great importance in time series analysis, and dynamic time warping (DTW) is known to provide generally reasonable matches. There ar…
cs.LG2013★ 6 cited
Generative Multiple-Instance Learning Models For Quantitative Electromyography
Tameem Adel, Benn Smith, Ruth Urner +2
We present a comprehensive study of the use of generative modeling approaches for Multiple-Instance Learning (MIL) problems. In MIL a learner receives training instances grouped to…