Learning common and label-specific features for multi-Label classification with correlation information

Feature selection with missing labels based on label compression and local feature correlation

(2020) Lin Jiang et al.   NEUROCOMPUTING

Joint label completion and label-specific features for multi-label learning algorithm

(2020) Yibin Wang et al.   SOFT COMPUTING

Joint Label-Specific Features and Correlation Information for Multi-Label Learning

(2020) Xiu-Yi Jia et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

Multi-label feature selection with shared common mode

(2020) Liang Hu et al.   PATTERN RECOGNITION

Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning

(2019) Yumeng Guo et al.   ACM Transactions on Knowledge Discovery from Data

Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance

(2019) Ali Braytee et al.   ACM Transactions on Intelligent Systems and Technology

Non-sparse label specific features selection for multi-label classification

(2019) Wei Weng et al.   NEUROCOMPUTING

Large-scale multi-label classification using unknown streaming images

(2019) Yu Zhang et al.   PATTERN RECOGNITION

Compact feature subset-based multi-label music categorization for mobile devices

(2018) Jaesung Lee et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Multi-label feature selection with missing labels

(2018) Pengfei Zhu et al.   PATTERN RECOGNITION

Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification

(2016) Jun Huang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Tutorial on Multilabel Learning

(2015) Eva Gibaja et al.   ACM COMPUTING SURVEYS

Lift: Multi-Label Learning with Label-Specific Features

(2015) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Penalized partial least square discriminant analysis with ℓ1-norm for multi-label data

(2015) Huawen Liu et al.   PATTERN RECOGNITION

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Multilabel classification via calibrated label ranking

(2008) Johannes Fürnkranz et al.   MACHINE LEARNING