Editorial Board
Cross-modal knowledge reasoning for knowledge-based visual question answering
View-specific subspace learning and re-ranking for semi-supervised person re-identification
Fast and incremental algorithms for exponential semi-supervised discriminant embedding
A mathematical programming approach for integrated multiple linear regression subset selection and validation
Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)
Multi-view subspace learning via bidirectional sparsity
Density peak clustering based on relative density relationship
One-vs-One classification for deep neural networks
Mutual information based feature subset selection in multivariate time series classification
Diverse training dataset generation based on a multi-objective optimization for semi-Supervised classification
Online kernel classification with adjustable bandwidth using control-based learning approach
Bringing semantics into word image representation
MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition
SCUT-HCCDoc: A new benchmark dataset of handwritten Chinese text in unconstrained camera-captured documents
Accurate, data-efficient, unconstrained text recognition with convolutional neural networks
Geometric rectification of document images using adversarial gated unwarping network
Sensor-based and vision-based human activity recognition: A comprehensive survey
Few-shot activity recognition with cross-modal memory network
HCNN-PSI: A hybrid CNN with partial semantic information for space target recognition
Image segmentation using dense and sparse hierarchies of superpixels
Relational graph neural network for situation recognition
Freely typed keystroke dynamics-based user authentication for mobile devices based on heterogeneous features
Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning
Generalized low-rank approximation of matrices based on multiple transformation pairs
Discovering and incorporating latent target-domains for domain adaptation
SEMEDA: Enhancing segmentation precision with semantic edge aware loss
Transductive semi-supervised metric learning for person re-identification
On unsupervised simultaneous kernel learning and data clustering
Rich heterogeneous information preserving network representation learning
