41 citations · 162 across the 22 of their papers we have counts for
33 papers
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization
Feiping Nie, Jitao Lu, Danyang Wu +2
Normalized-Cut (N-Cut) is a famous model of spectral clustering. The traditional N-Cut solvers are two-stage: 1) calculating the continuous spectral embedding of normalized Laplaci…
On the Global Solution of Soft k-Means
Feiping Nie, Hong Chen, Rong Wang +1
This paper presents an algorithm to solve the Soft k-Means problem globally. Unlike Fuzzy c-Means, Soft k-Means (SkM) has a matrix factorization-type objective and has been shown t…
Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework
Liangchen Liu, Qiuhong Ke, Chaojie Li +2
Spectral clustering is an effective methodology for unsupervised learning. Most traditional spectral clustering algorithms involve a separate two-step procedure and apply the trans…
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges
Junyun Cui, Xiaoyu Shen, Feiping Nie +3
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to predict judgment results based on fact descriptions automatically. Recently, large-scale pub…
Adaptive neighborhood Metric learning
Kun Song, Junwei Han, Gong Cheng +2
In this paper, we reveal that metric learning would suffer from serious inseparable problem if without informative sample mining. Since the inseparable samples are often mixed with…
Sparse PCA via -Norm Regularization for Unsupervised Feature Selection
Zhengxin Li, Feiping Nie, Jintang Bian +1
In the field of data mining, how to deal with high-dimensional data is an inevitable problem. Unsupervised feature selection has attracted more and more attention because it does n…