219 citations · 904 across the 50 of their papers we have counts for
5 papers · 1 filter
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…
Compactness Score: A Fast Filter Method for Unsupervised Feature Selection
Peican Zhu, Xin Hou, Keke Tang +2
Along with the flourish of the information age, massive amounts of data are generated day by day. Due to the large-scale and high-dimensional characteristics of these data, it is o…