279 citations · 377 across the 7 of their papers we have counts for
Showing 2014Show all
3 papers · 1 filter
cs.LG2014★ 25 cited
10,000+ Times Accelerated Robust Subset Selection (ARSS)
Feiyun Zhu, Bin Fan, Xinliang Zhu +3
Subset selection from massive data with noised information is increasingly popular for various applications. This problem is still highly challenging as current methods are general…
cs.CV2014★ 53 cited
Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity
Feiyun Zhu, Ying Wang, Bin Fan +2
Hyperspectral unmixing (HU) plays a fundamental role in a wide range of hyperspectral applications. It is still challenging due to the common presence of outlier channels and the l…
cs.CV2014★ 279 cited
Spectral Unmixing via Data-guided Sparsity
Feiyun Zhu, Ying Wang, Bin Fan +3
Hyperspectral unmixing, the process of estimating a common set of spectral bases and their corresponding composite percentages at each pixel, is an important task for hyperspectral…