IEEE Transactions on Neural Networks and Learning Systems

Nonfragile Dissipative Synchronization for Markovian Memristive Neural Networks: A Gain-Scheduled Control Scheme

Spectral Embedded Adaptive Neighbors Clustering

Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data

Separability and Compactness Network for Image Recognition and Superresolution

Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems

Coupled Neural P Systems

Multiview Subspace Clustering via Tensorial t-Product Representation

Event/Self-Triggered Control for Leader-Following Consensus Over Unreliable Network With DoS Attacks

Augmented Real-Valued Time-Delay Neural Network for Compensation of Distortions and Impairments in Wireless Transmitters

Finite-Time Passivity-Based Stability Criteria for Delayed Discrete-Time Neural Networks via New Weighted Summation Inequalities

A Stochastic Sampling Mechanism for Time-Varying Formation of Multiagent Systems With Multiple Leaders and Communication Delays

Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method

Person Reidentification via Structural Deep Metric Learning

A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process.

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling

Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis

Exponential Stabilization of Fuzzy Memristive Neural Networks With Hybrid Unbounded Time-Varying Delays

Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images

Blind Denoising Autoencoder

Morphological Convolutional Neural Network Architecture for Digit Recognition

Biased Random Forest For Dealing With the Class Imbalance Problem

A Deep Collaborative Framework for Face Photo–Sketch Synthesis

A Lagrangian Relaxation Approach for Binary Multiple Instance Classification

Neuroadaptive Fault-Tolerant Control of Quadrotor UAVs: A More Affordable Solution

Hypergraph-Induced Convolutional Networks for Visual Classification

Exploiting Combination Effect for Unsupervised Feature Selection by $\\ell_{2,0}$ Norm

Early Expression Detection via Online Multi-Instance Learning With Nonlinear Extension

Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction

Semisupervised Learning With Parameter-Free Similarity of Label and Side Information

Learning Discrete-Time Markov Chains Under Concept Drift

Nonuniformly Sampled Data Processing Using LSTM Networks

On the Universality of Memcomputing Machines

Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation

Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise

A Novel Neural Network for Remote Sensing Image Matching

Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations

A Fast and Accurate Matrix Completion Method Based on QR Decomposition and $L_{2,1}$ -Norm Minimization

Distributed Extremum Seeking for Optimal Resource Allocation and Its Application to Economic Dispatch in Smart Grids

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations

Temporal Self-Organization: A Reaction–Diffusion Framework for Spatiotemporal Memories

Dynamic Collaborative Tracking

Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures

Short Sequence Classification Through Discriminable Linear Dynamical System

Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits

Variational Inference for 3-D Localization and Tracking of Multiple Targets Using Multiple Cameras

Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss