yusuke1997/dblp-id-title huggingface dataset:
Relational Consistency Induced Self-Supervised Hashing for Image Retrieval
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier
A Soft Sensor for Multirate Quality Variables Based on MC-CNN
Mercer kernel-based clustering in feature space
Fast minimization of structural risk by nearest neighbor rule
Feedforward Neural Network Methodology
MICPL: Motion-Inspired Cross-Pattern Learning for Small-Object Detection in Satellite Videos
Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints
Pinning Control Design for the Stabilization of Boolean Networks
On Expressivity and Trainability of Quadratic Networks
Noisy Tensor Completion via Low-Rank Tensor Ring
Adaptive Asymptotic Neural Network Control of Nonlinear Systems With Unknown Actuator Quantization
Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates" [Jul 04 828-837]
Unsupervised Knowledge Transfer Using Similarity Embeddings
Multistability and Stabilization of Fractional-Order Competitive Neural Networks With Unbounded Time-Varying Delays
Robot Motor Skill Transfer With Alternate Learning in Two Spaces
A note on stability of analog neural networks with time delays
Online Model-Free n-Step HDP With Stability Analysis
Reduced HyperBF Networks: Regularization by Explicit Complexity Reduction and Scaled Rprop-Based Training
A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems
Learning Student Networks via Feature Embedding
Finite-Horizon $H_{\infty}$ State Estimation for Periodic Neural Networks Over Fading Channels
Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines
Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems
A tree-structured adaptive network for function approximation in high-dimensional spaces
Robust Stabilizing Control of Perturbed Biological Networks via Coordinate Transformation and Algebraic Analysis
Worst-case convergence times for Hopfield memories
CLRNet: Component-Level Refinement Network for Deep Face Parsing
Classification ability of single hidden layer feedforward neural networks
Identifying Objective and Subjective Words via Topic Modeling
Fast and Smooth Composite Local Learning-Based Adaptive Control
Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation
Memory and Communication Efficient Federated Kernel k-Means
Shuffle GAN With Autoencoder: A Deep Learning Approach to Separate Moving and Stationary Targets in SAR Imagery
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering
Dynamic tunneling technique for efficient training of multilayer perceptrons
Mapping Boolean functions with neural networks having binary weights and zero thresholds
Simplifying Complex Network Stability Analysis via Hierarchical Node Aggregation and Optimal Periodic Control
A Novel Error-Compensation Control for a Class of High-Order Nonlinear Systems With Input Delay
Training feedforward networks with the Marquardt algorithm
Learning Transactional Behavioral Representations for Credit Card Fraud Detection
Modeling and Control of Robotic Manipulators Based on Symbolic Regression
RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG
Robust sound onset detection using leaky integrate-and-fire neurons with depressing synapses
Maximally fault tolerant neural networks
Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks
Advancing Generalization in PINNs Through Latent-Space Representations
Geometric Algorithms to Large Margin Classifier Based on Affine Hulls
Ensemble Stochastic Configuration Networks for Estimating Prediction Intervals: A Simultaneous Robust Training Algorithm and Its Application
Smart Machine Vision for Universal Spatial-Mode Reconstruction
Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search
SFBM: Shared Feature Bias Mitigating for Long-Tailed Image Recognition
Adaptive Neural Control for Strict-Feedback Nonlinear Systems Without Backstepping
Compression of Convolutional Neural Networks With Divergent Representation of Filters
Robust Latent Subspace Learning for Image Classification
Secure Communication via Chaotic Synchronization Based on Reservoir Computing
Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling
Dynamic self-organizing maps with controlled growth for knowledge discovery
Enhancing Distributed Neural Network Training Through Node-Based Communications
Multilayer feedforward networks with adaptive spline activation function
A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization
ANN-DT: an algorithm for extraction of decision trees from artificial neural networks
Minimum Complexity Echo State Network
The role of temporal parameters in a thalamocortical model of analogy
Inference from aging information
Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information
Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning
Orthogonal Subspace Representation for Generative Adversarial Networks
An application of recurrent nets to phone probability estimation
A note on convergence under dynamical thresholds with delays
Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Toward Region-Aware Attention Learning for Scene Graph Generation
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays
A partial order for the M-of-N rule-extraction algorithm
Bayesian wavelet networks for nonparametric regression
Codesign of FDI Attacks Detection, Isolation, and Mitigation for Complex Microgrid Systems: An HBF-NN-Based Approach
Inverse Value Iteration and Q-Learning: Algorithms, Stability, and Robustness
On the convergence of the decomposition method for support vector machines
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning
An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images
Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature
An Information-Assisted Deep Reinforcement Learning Path Planning Scheme for Dynamic and Unknown Underwater Environment
Optimal Guaranteed Cost Sliding Mode Control for Constrained-Input Nonlinear Systems With Matched and Unmatched Disturbances
Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods
Distributed Min-Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification
Generalized Embedding Regression: A Framework for Supervised Feature Extraction
Deterministic Learning-Based Adaptive Neural Control for Nonlinear Full-State Constrained Systems
DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering
Advancing Causal Intervention in Image Captioning With Causal Prompt
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning
Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions
An Efficient Domain Knowledge-Guided Semantic Prediction Framework for Pathological Subtypes on the Basis of Radiological Images With Limited Annotations
Synaptic plasticity in spiking neural networks (SP 2 INN): a system approach
On the new method for the control of discrete nonlinear dynamic systems using neural networks
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
'Neural-gas' network for vector quantization and its application to time-series prediction
Functional Connectivity Prediction With Deep Learning for Graph Transformation
Graph partitioning using annealed neural networks
Iterative-Weighted Thresholding Method for Group-Sparsity-Constrained Optimization With Applications
Behind-the-Meter Load and PV Disaggregation via Deep Spatiotemporal Graph Generative Sparse Coding With Capsule Network
AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth
Classification by Sparse Neural Networks
Model-Based Self-Advising for Multi-Agent Learning
Contextual processing of structured data by recursive cascade correlation
Pattern recognition via synchronization in phase-locked loop neural networks
Entropy Minimizing Matrix Factorization
Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems
A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems
Few-Shot Learning Based on Multimodal Information Processing
Spatially Regularized Structural Support Vector Machine for Robust Visual Tracking
Plume Tracing via Model-Free Reinforcement Learning Method
Exponential Stability of Fractional-Order Complex Multi-Links Networks With Aperiodically Intermittent Control
A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space
A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle
Learning to Predict Gradients for Semi-Supervised Continual Learning
A real-time experiment using a 50-neuron CMOS analog silicon chip with on-chip digital learning
Sensitivity analysis of multilayer perceptron to input and weight perturbations
Wake-Sleep Consolidated Learning
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation
Generalized low-rank approximations of matrices revisited
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
Multiple Kernel Clustering With Compressed Subspace Alignment
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia
Learning Target-Domain-Specific Classifier for Partial Domain Adaptation
Wide-Dynamic-Range APS-Based Silicon Retina With Brightness Constancy
Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning
Bilinear Graph Networks for Visual Question Answering
New Accurate and Flexible Design Procedure for a Stable KWTA Continuous Time Network
One-Step Multi-View Clustering With Diverse Representation
Underwater target classification using wavelet packets and neural networks
Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition
Robust Tensor Completion via Capped Frobenius Norm
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features
Block-based neural networks
ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection
Evaluation of convolutional neural networks for visual recognition
Convergence Analysis of Adaptive Exponential Functional Link Network
Automatic Learning Rate Adaption for Memristive Deep Learning Systems
Global Convergence of GHA Learning Algorithm With Nonzero-Approaching Adaptive Learning Rates
Clone-Based Encoded Neural Networks to Design Efficient Associative Memories
Persistence of Backdoor-Based Watermarks for Neural Networks: A Comprehensive Evaluation
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images
Graph Convolutional Multi-Label Hashing for Cross-Modal Retrieval
A Lightweight Encoder-Decoder Path for Deep Residual Networks
A Learning-Based Solution for an Adversarial Repeated Game in Cyber-Physical Power Systems
CGHA for principal component extraction in the complex domain
Neural modeling for time series: A statistical stepwise method for weight elimination
Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix
A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System
Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate
Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation
Anti-Hebbian learning in topologically constrained linear networks: a tutorial
Runtime Programmable and Memory Bandwidth Optimized FPGA-Based Coprocessor for Deep Convolutional Neural Network
Newton-Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver
Adaptive fuzzy systems for backing up a truck-and-trailer
Low-Rank Matrix Learning Using Biconvex Surrogate Minimization
Toward Explainable Affective Computing: A Review
A hardware implementation of a biological neural system for target localization
On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks
Data-Driven Cluster Reinforcement and Visualization in Sparsely-Matched Self-Organizing Maps
New Results on Stability Analysis for Delayed Markovian Generalized Neural Networks With Partly Unknown Transition Rates
Stability Analysis of Neural Networks With Two Delay Components Based on Dynamic Delay Interval Method
Self-Paced Balance Learning for Clinical Skin Disease Recognition
Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems
Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction
Graph Representation Learning for Large-Scale Neuronal Morphological Analysis
Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer
A spatial-temporal approach for video caption detection and recognition
Dynamic Event-Triggered Control for GSES of Memristive Neural Networks Under Multiple Cyber-Attacks
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
Observability of Boolean Control Networks Using Parallel Extension and Set Reachability
New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process
Exponential Synchronization and L 2 -Gain Analysis of Delayed Chaotic Neural Networks Via Intermittent Control With Actuator Saturation
Statistical Machine Learning for Power Flow Analysis Considering the Influence of Weather Factors on Photovoltaic Power Generation
A Deep Collaborative Framework for Face Photo-Sketch Synthesis
Recursive Support Vector Machines for Dimensionality Reduction
Alternating minimization and Boltzmann machine learning
Learning an Autonomous Dynamic System to Encode Periodic Human Motion Skills
Asymptotical Feedback Set Stabilization of Probabilistic Boolean Control Networks
SENGraph: A Self-Learning Evolutionary and Node-Aware Graph Network for Soft Sensing in Industrial Processes
Multistability of Neural Networks With Time-Varying Delays and Concave-Convex Characteristics
SCANet: Securing the Weights With Superparamagnetic-MTJ Crossbar Array Networks
A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients
Identification of Extended Hammerstein Systems Using Dynamic Self-Optimizing Neural Networks
Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances
Adaptive Optimal Tracking Control of an Underactuated Surface Vessel Using Actor-Critic Reinforcement Learning
Divisive Gaussian Processes for Nonstationary Regression
The design of a neural network with a biologically motivated architecture
Cascade ARTMAP: integrating neural computation and symbolic knowledge processing
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors
Hierarchical Optimal Synchronization for Linear Systems via Reinforcement Learning: A Stackelberg-Nash Game Perspective
Learning-Based Modeling and Predictive Control for Unknown Nonlinear System With Stability Guarantees
Optimization-based learning with bounded error for feedforward neural networks
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection
Sensitivity analysis of single hidden-layer neural networks with threshold functions
Finite-Time Stabilization of Inertial Memristive Neural Networks via Nonreduced Order Method
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
Deep Decision Tree Transfer Boosting
Tiny Data Is Sufficient: A Generalizable CNN Architecture for Temporal Domain Long Sequence Identification
A Multichannel Convolutional Decoding Network for Graph Classification
Subspace Distribution Adaptation Frameworks for Domain Adaptation
Asymptotic statistical theory of overtraining and cross-validation
Testing Conditional Independence Between Latent Variables by Independence Residuals
A fuzzy-based approach to remove clock skew and reset from one-way delay measurement
Anchor Graph Network for Incomplete Multiview Clustering
Admittance-Based Adaptive Cooperative Control for Multiple Manipulators With Output Constraints
Model-free distributed learning
The generalization error of the symmetric and scaled support vector machines
Multicenter Hierarchical Federated Learning With Fault-Tolerance Mechanisms for Resilient Edge Computing Networks
A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots
Hybrid Manifold Embedding
Dynamic proximity of spatio-temporal sequences
Complex Gaussian Processes for Regression
Nonlinear Knowledge-Based Classification
Manifold Regularized Correlation Object Tracking
Distributed Online Convex Optimization With Statistical Privacy
Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval
Hierarchical Stability Conditions for a Class of Generalized Neural Networks With Multiple Discrete and Distributed Delays
Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights
Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks
A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications
A comparison between HMLP and HRBF for attitude control
Decision feedback recurrent neural equalization with fast convergence rate
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model
Pinning Synchronization of Directed Networks With Switching Topologies: A Multiple Lyapunov Functions Approach
Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization
Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems
Neurocomputing Model for Computation of an Approximate Convex Hull of a Set of Points and Spheres
Bearing Rigidity-Based Flocking Control of AUVs via Semi-Supervised Incremental Broad Learning
Multidimensional Gains for Stochastic Approximation
Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs
Event-Based Design of Finite-Time Adaptive Control of Uncertain Nonlinear Systems
Statistical inference, the bootstrap, and neural-network modeling with application to foreign exchange rates
A Data-Driven Bayesian Koopman Learning Method for Modeling Hysteresis Dynamics
Performance surfaces of a single-layer perceptron
Accuracy analysis for wavelet approximations
Qualitative Analysis and Bifurcation in a Neuron System With Memristor Characteristics and Time Delay
Complex-Valued Filtering Based on the Minimization of Complex-Error Entropy
Laplacian-Uniform Mixture-Driven Iterative Robust Coding With Applications to Face Recognition Against Dense Errors
A Proposal for Local k Values for k-Nearest Neighbor Rule
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
Does Tail Label Help for Large-Scale Multi-Label Learning?
Biologically Plausible Sparse Temporal Word Representations
Deep Reinforcement Learning With Explicit Context Representation
Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification
Out-of-Sample Tuning for Causal Discovery
Structured Domain Adaptation With Online Relation Regularization for Unsupervised Person Re-ID
A New Discrete-Time Multi-Constrained K-Winner-Take-All Recurrent Network and Its Application to Prioritized Scheduling
Classification capacity of a modular neural network implementing neurally inspired architecture and training rules
$H_{\infty}$ State Estimation for Discrete-Time Nonlinear Singularly Perturbed Complex Networks Under the Round-Robin Protocol
Pulse-stream VLSI neural networks mixing analog and digital techniques
Zero-Shot Human-Object Interaction Detection via Similarity Propagation
Near-Nash Equilibrium Control Strategy for Discrete-Time Nonlinear Systems With Round-Robin Protocol
Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study
Multiview Subspace Clustering via Tensorial t-Product Representation
Adaptive Event-Triggered Synchronization of Reaction-Diffusion Neural Networks
Person Reidentification by Joint Local Distance Metric and Feature Transformation
TFMKC: Tuning-Free Multiple Kernel Clustering Coupled With Diverse Partition Fusion
Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data
Asymmetric Constrained Optimal Tracking Control With Critic Learning of Nonlinear Multiplayer Zero-Sum Games
Data-Independent Structured Pruning of Neural Networks via Coresets
Real-time computing platform for spiking neurons (RT-spike)
Modified self-organizing feature map algorithms for efficient digital hardware implementation
Discovery of Shared Latent Nonlinear Effective Connectivity for EEG-Based Depression Detection
Find Hidden Modality Divergence: Adversarial Aware Learning for Unsupervised Visible-Infrared Person Re-Identification
A new recurrent neural-network architecture for visual pattern recognition
Multivariable Collaborative Modeling With Knowledge Transfer and Its Application in Soft Sensing of Iron Flotation Grade
Causal Optimal Transport for Treatment Effect Estimation
In Defense of Locality-Sensitive Hashing
From Pixel to Patch: Synthesize Context-Aware Features for Zero-Shot Semantic Segmentation
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation
Dual-Structural Bipartite Graph Learning for Multiview Clustering
The design of a neuro-microprocessor
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
MCDAL: Maximum Classifier Discrepancy for Active Learning
A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks
HSGAN: Hyperspectral Reconstruction From RGB Images With Generative Adversarial Network
Weighted Least-Squares Approach for Identification of a Reduced-Order Adaptive Neuronal Model
Computational capabilities of local-feedback recurrent networks acting as finite-state machines
A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation
New Splitting Criteria for Decision Trees in Stationary Data Streams
RGB-D Point Cloud Registration Based on Salient Object Detection
Heterogeneous Riemannian Few-Shot Learning Network
Delayed Impulsive Control for Lag Synchronization of Delayed Neural Networks Involving Partial Unmeasurable States
Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment
Self-organizing learning array
Inverse mapping of continuous functions using local and global information
On competitive learning
Ordinal Distance Metric Learning for Image Ranking
A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems
Dynamic probability estimator for machine learning
Multiresolution Reservoir Graph Neural Network
Asymptotical Neuro-Adaptive Consensus of Multi-Agent Systems With a High Dimensional Leader and Directed Switching Topology
Comments on "Robust stability for interval Hopfield neural networks with time delay" by X.F. Liao