Editorial Board
Delving deep into spatial pooling for squeeze-and-excitation networks
Lifelong robotic visual-tactile perception learning
Indefinite twin support vector machine with DC functions programming
Unified learning approach for egocentric hand gesture recognition and fingertip detection
Graph variational auto-encoder for deriving EEG-based graph embedding
Semi-supervised student-teacher learning for single image super-resolution
Creating synthetic minority class samples based on autoencoder extreme learning machine
WC-KNNG-PC: Watershed clustering based on k-nearest-neighbor graph and Pauta Criterion
Tracking more than 100 arbitrary objects at 25 FPS through deep learning
Novel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image segmentation
ANCES: A novel method to repair attribute noise in classification problems
4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization
Mixture factor analysis with distance metric constraint for dimensionality reduction
Relation-aware dynamic attributed graph attention network for stocks recommendation
Multi-dimensional clustering through fusion of high-order similarities
Consistent and diverse multi-View subspace clustering with structure constraint
Action recognition via pose-based graph convolutional networks with intermediate dense supervision
SAR-to-optical image translation based on improved CGAN
Object-based cluster validation with densities
Blitz-SLAM: A semantic SLAM in dynamic environments
Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types
The residual generator: An improved divergence minimization framework for GAN
Spatiotemporal consistency-enhanced network for video anomaly detection
Head pose estimation using deep neural networks and 3D point clouds
Learning discriminative region representation for person retrieval
Towards robust explanations for deep neural networks
Learning hybrid ranking representation for person re-identification
Deep neural networks-based relevant latent representation learning for hyperspectral image classification
Pedestrian attribute recognition: A survey
Why is this an anomaly? Explaining anomalies using sequential explanations
Graph convolutional autoencoders with co-learning of graph structure and node attributes
Part-based annotation-free fine-grained classification of images of retail products
Pedestrian trajectory prediction with convolutional neural networks
A hierarchical model for learning to understand head gesture videos
Universal multi-Source domain adaptation for image classification
Preference prediction based on a photo gallery analysis with scene recognition and object detection
Deep anomaly detection with self-supervised learning and adversarial training
A novel GCN-based point cloud classification model robust to pose variances
Deep tree-ensembles for multi-output prediction
Learning common and label-specific features for multi-Label classification with correlation information
Towards open-set touchless palmprint recognition via weight-based meta metric learning
Learning scale awareness in keypoint extraction and description
Learning sequentially diversified representations for fine-grained categorization
Constrained mutual convex cone method for image set based recognition
Recursive multi-model complementary deep fusion for robust salient object detection via parallel sub-networks
BiconNet: An edge-preserved connectivity-based approach for salient object detection
Context-aware co-supervision for accurate object detection
Joint multi-label learning and feature extraction for temporal link prediction
Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles
Transtrack: Online meta-transfer learning and Otsu segmentation enabled wireless gesture tracking
Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
Online aggregation of probability forecasts with confidence
GLMNet: Graph learning-matching convolutional networks for feature matching
Learning to schedule multi-NUMA virtual machines via reinforcement learning
Estimating fund-raising performance for start-up projects from a market graph perspective
Financial time series forecasting with multi-modality graph neural network
Expression of concern: “What-and-where to match: Deep spatially multiplicative integration networks for person re-identification” [Pattern Recognition, Volume 76, April 2018, Pages 727-738]
Expression of concern: “Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification” [Pattern Recognition, Volume 73, January 2018, Pages 275-288]
