Editorial Board
Manga face detection based on deep neural networks fusing global and local information
OFS-Density: A novel online streaming feature selection method
Bayesian denoising hashing for robust image retrieval
Cost-sensitive classifier chains: Selecting low-cost features in multi-label classification
Scene wireframes sketching for Unmanned Aerial Vehicles
Landmark-based algorithms for group average and pattern recognition
Unsupervised Multi-task Learning with Hierarchical Data Structure
Clustering as physically inspired energy minimization
A convex formulation for multiple ordinal output classification
Information extraction from historical handwritten document images with a context-aware neural model
A selectional auto-encoder approach for document image binarization
Learning principal orientations and residual descriptor for action recognition
Attention driven person re-identification
Fractional-order orthogonal Chebyshev Moments and Moment Invariants for image representation and pattern recognition
Cross-spectral iris recognition using CNN and supervised discrete hashing
Multi-label learning of part detectors for occluded pedestrian detection
SPM-SLAM: Simultaneous localization and mapping with squared planar markers
Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection
Nonlinear regression via incremental decision trees
Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis
Efficient algorithms for graph regularized PLSA for probabilistic topic modeling
Visualization and machine learning analysis of complex networks in hyperspherical space
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping
From aging to early-stage Alzheimer's: Uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning
Shall deep learning be the mandatory future of document analysis problems?
Symmetry-adapted representation learning
Learning structured and non-redundant representations with deep neural networks
Multi-view intact space clustering
