A brief review on multi-task learning

Full left ventricle quantification via deep multitask relationships learning

(2018) Wufeng Xue et al.   MEDICAL IMAGE ANALYSIS

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

(2018) Christian Wachinger et al.   NEUROIMAGE

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

(2017) Jun Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition

(2017) Jianping Fan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Graph PCA Hashing for Similarity Search

(2017) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON MULTIMEDIA

HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

(2017) Rajeev Ranjan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning

(2017) Zhengxia Wang et al.   MEDICAL IMAGE ANALYSIS

Dynamic graph learning for spectral feature selection

(2017) Wei Zheng et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Graph self-representation method for unsupervised feature selection

(2017) Rongyao Hu et al.   NEUROCOMPUTING

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

(2017) Xiaofeng Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities

(2017) Mohsen Ghafoorian et al.   Scientific Reports

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

(2016) Xiaofeng Zhu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

(2016) Xi Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multi-view texture classification using hierarchical synthetic images

(2016) Jun Zhang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion

(2014) Kim-Han Thung et al.   NEUROIMAGE

A Dirty Model for Multiple Sparse Regression

(2013) Ali Jalali et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Bi-level multi-source learning for heterogeneous block-wise missing data

(2013) Shuo Xiang et al.   NEUROIMAGE

Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification

(2013) Feng Liu et al.   NEUROIMAGE

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data

(2012) Lei Yuan et al.   NEUROIMAGE

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

(2012) Jianhui Chen et al.   ACM Transactions on Knowledge Discovery from Data

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

(2011) Daoqiang Zhang et al.   NEUROIMAGE

Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach

(2010) Maria Vounou et al.   NEUROIMAGE

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning

(2010) Ting Kei Pong et al.   SIAM JOURNAL ON OPTIMIZATION

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Joint covariate selection and joint subspace selection for multiple classification problems

(2009) Guillaume Obozinski et al.   STATISTICS AND COMPUTING

Flexible latent variable models for multi-task learning

(2008) Jian Zhang et al.   MACHINE LEARNING

Convex multi-task feature learning

(2008) Andreas Argyriou et al.   MACHINE LEARNING