3.7k citations · 13.3k across the 162 of their papers we have counts for
11 papers · 1 filter
Purine: A bi-graph based deep learning framework
Min Lin, Shuo Li, Xuan Luo +1
In this paper, we introduce a novel deep learning framework, termed Purine. In Purine, a deep network is expressed as a bipartite graph (bi-graph), which is composed of interconnec…
Generalized Singular Value Thresholding
Canyi Lu, Changbo Zhu, Chunyan Xu +2
This work studies the Generalized Singular Value Thresholding (GSVT) operator , \begin{equation*} {\text{Prox}}_{g}^{σ}(B)=\arg\min\limits_{X}\sum_{i=…
Computational Baby Learning
Xiaodan Liang, Si Liu, Yunchao Wei +3
Intuitive observations show that a baby may inherently possess the capability of recognizing a new visual concept (e.g., chair, dog) by learning from only very few positive instanc…
CNN: Single-label to Multi-label
Yunchao Wei, Wei Xia, Junshi Huang +4
Convolutional Neural Network (CNN) has demonstrated promising performance in single-label image classification tasks. However, how CNN best copes with multi-label images still rema…
Generalized Nonconvex Nonsmooth Low-Rank Minimization
Canyi Lu, Jinhui Tang, Shuicheng Yan +1
As surrogate functions of -norm, many nonconvex penalty functions have been proposed to enhance the sparse vector recovery. It is easy to extend these nonconvex penalty functi…
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
Canyi Lu, Yunchao Wei, Zhouchen Lin +1
This paper proposes the Proximal Iteratively REweighted (PIRE) algorithm for solving a general problem, which involves a large body of nonconvex sparse and structured sparse relate…