219 citations · 904 across the 50 of their papers we have counts for
9 papers · 1 filter
Supervised feature selection with orthogonal regression and feature weighting
Xia Wu, Xueyuan Xu, Jianhong Liu +3
Effective features can improve the performance of a model, which can thus help us understand the characteristics and underlying structure of complex data. Previous feature selectio…
Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity
Jinglin Xu, Junwei Han, Mingliang Xu +2
Clustering is an effective technique in data mining to group a set of objects in terms of some attributes. Among various clustering approaches, the family of K-Means algorithms gai…
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
Feiping Nie, Zhanxuan Hu, Xiaoqian Wang +3
This work aims at solving the problems with intractable sparsity-inducing norms that are often encountered in various machine learning tasks, such as multi-task learning, subspace…
Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms
Feiping Nie, Hua Wang, Zheng Wang +1
As one of the most popular linear subspace learning methods, the Linear Discriminant Analysis (LDA) method has been widely studied in machine learning community and applied to many…
Intrinsic Weight Learning Approach for Multi-view Clustering
Feiping Nie, Jing Li, Xuelong Li
Exploiting different representations, or views, of the same object for better clustering has become very popular these days, which is conventionally called multi-view clustering. G…
Learning Feature Sparse Principal Components
Lai Tian, Feiping Nie, Xuelong Li
This paper presents new algorithms to solve the feature-sparsity constrained PCA problem (FSPCA), which performs feature selection and PCA simultaneously. Existing optimization met…
Listen to the Image
Di Hu, Dong Wang, Xuelong Li +2
Visual-to-auditory sensory substitution devices can assist the blind in sensing the visual environment by translating the visual information into a sound pattern. To improve the tr…
Feature Learning Viewpoint of AdaBoost and a New Algorithm
Fei Wang, Zhongheng Li, Fang He +3
The AdaBoost algorithm has the superiority of resisting overfitting. Understanding the mysteries of this phenomena is a very fascinating fundamental theoretical problem. Many studi…
Optimal Projection Guided Transfer Hashing for Image Retrieval
Ji Liu, Lei Zhang
Recently, learning to hash has been widely studied for image retrieval thanks to the computation and storage efficiency of binary codes. For most existing learning to hash methods,…