312 citations · 1.6k across the 26 of their papers we have counts for
10 papers · 1 filter
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
Canyi Lu, Huan Li, Zhouchen Lin +1
The Augmented Lagragian Method (ALM) and Alternating Direction Method of Multiplier (ADMM) have been powerful optimization methods for general convex programming subject to linear…
Convex Sparse Spectral Clustering: Single-view to Multi-view
Canyi Lu, Shuicheng Yan, Zhouchen Lin
Spectral Clustering (SC) is one of the most widely used methods for data clustering. It first finds a low-dimensonal embedding of data by computing the eigenvectors of the norm…
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm
Canyi Lu, Jinhui Tang, Shuicheng Yan +1
The nuclear norm is widely used as a convex surrogate of the rank function in compressive sensing for low rank matrix recovery with its applications in image recovery and signal pr…
Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
Canyi Lu, Huan Li, Zhouchen Lin
Compressed Sensing (CS) is a novel technique for simultaneous signal sampling and compression based on the existence of a sparse representation of signal and a projected dictionary…
Adaptive Nonparametric Image Parsing
Tam V. Nguyen, Canyi Lu, Jose Sepulveda +1
In this paper, we present an adaptive nonparametric solution to the image parsing task, namely annotating each image pixel with its corresponding category label. For a given test i…
Projection onto the capped simplex
Weiran Wang, Canyi Lu
We provide a simple and efficient algorithm for computing the Euclidean projection of a point onto the capped simplex---a simplex with an additional uniform bound on each coordinat…