29 citations · 84 across the 15 of their papers we have counts for
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cs.IT2016
Unified Theory for Recovery of Sparse Signals in a General Transform Domain
Kiryung Lee, Yanjun Li, Kyong Hwan Jin +1
Compressed sensing provided a data-acquisition paradigm for sparse signals. Remarkably, it has been shown that practical algorithms provide robust recovery from noisy linear measur…
stat.ML2016
Joint Dimensionality Reduction for Two Feature Vectors
Yanjun Li, Yoram Bresler
Many machine learning problems, especially multi-modal learning problems, have two sets of distinct features (e.g., image and text features in news story classification, or neuroim…
cs.IT2016
Optimal Sample Complexity for Stable Matrix Recovery
Yanjun Li, Kiryung Lee, Yoram Bresler
Tremendous efforts have been made to study the theoretical and algorithmic aspects of sparse recovery and low-rank matrix recovery. This paper fills a theoretical gap in matrix rec…