Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering

21 May 2016

Papers citing "Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering"

9 / 9 papers shown

Title
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 68 11 0 03 Feb 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 80 13 0 03 Jan 2023
Provable Subspace Identification Under Post-Nonlinear Mixtures Qi Lyu Xiao Fu CoGe 65 0 0 14 Oct 2022
Clustering Aware Classification for Risk Prediction and Subtyping in Clinical Data Shivin Srivastava Siddharth Bhatia Lingxiao Huang Lim Jun Heng Kenji Kawaguchi Vaibhav Rajan CML 36 0 0 23 Feb 2021
eTREE: Learning Tree-structured Embeddings Faisal M. Almutairi Yunlong Wang Dong Wang E. Zhao N. Sidiropoulos 28 4 0 20 Dec 2020
On Recoverability of Randomly Compressed Tensors with Low CP Rank Shahana Ibrahim Xiao Fu Xingguo Li 74 4 0 08 Jan 2020
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization Shuai Wang Tsung-Hui Chang Ying Cui J. Pang 109 32 0 03 Jun 2019
Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile Richard T. Marriott AI4TS 70 11 0 05 Nov 2018
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering Bo Yang Xiao Fu N. Sidiropoulos Mingyi Hong DRL 96 880 0 15 Oct 2016