yusuke1997/dblp-id-title huggingface dataset:
Solving Robotic Trajectory Sequential Writing Problem via Learning Character's Structural and Sequential Information
Robust Mixed $l 1 H ∞ Filtering for Affine Fuzzy Systems With Measurement Errors
Maximal Margin Support Vector Machine for Feature Representation and Classification
Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph
Normal Forms of Linear Time-Varying Systems With Applications to Output-Feedback Stabilization and Tracking
Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals
Nonlinear Observer-Based Visual Servoing and Vibration Control of Flexible Robotic Manipulators With a Fixed Camera
Distributed Output Feedback Leader-Following Control for High-Order Nonlinear Multiagent System Using Dynamic Gain Method
Joint Dictionary Learning for Multispectral Change Detection
Finite-Time Stability of Delayed Memristor-Based Fractional-Order Neural Networks
Compound Adaptive Fuzzy Quantized Control for Quadrotor and Its Experimental Verification
Graph Embedded Extreme Learning Machine
Dual Shared-Specific Multiview Subspace Clustering
Periodic Event-Triggered Output-Feedback Stabilization for Stochastic Systems
On the Equivalence of HLLE and LTSA
Prescribed-Time Network-Based Deployment of Nonlinear Multiagent Systems: A Discrete-Space PDE Method
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition
Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition
Hybrid Noise-Oriented Multilabel Learning
Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling
Event-Based Practical Output Regulation for a Class of Multiagent Nonlinear Systems
A Constrained Learning-Based Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning
Memory-Based Integral Sliding-Mode Control for T-S Fuzzy Systems With PMSM via Disturbance Observer
Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of Features
Sliding-Mode Control for Interval Type-2 Fuzzy Systems: Event-Triggering WTOD Scheme
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns
Remote Nonlinear State Estimation With Stochastic Event-Triggered Sensor Schedule
A Spatially Informative Optic Flow Model of Bee Colony With Saccadic Flight Strategy for Global Optimization
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition
Hilbert Transform Design Based on Fractional Derivatives and Swarm Optimization
Efficient Nonlinear Model Predictive Control for Quadrotor Trajectory Tracking: Algorithms and Experiment
Finite-Time Consensus of Opinion Dynamics and its Applications to Distributed Optimization Over Digraph
Multi-Agent Distributed Optimal Control for Tracking Large-Scale Multi-Target Systems in Dynamic Environments
Fuzzy Adaptive Control Design and Discretization for a Class of Nonlinear Uncertain Systems
Learning Distance Constrained Transformation for Video Tracking in Car-Following
Fault Estimation Observer Design for Markovian Jump Systems With Nondifferentiable Actuator and Sensor Failures
CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data
A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction
Adaptive Fuzzy Control for Nonstrict Feedback Systems With Unmodeled Dynamics and Fuzzy Dead Zone via Output Feedback
Distributed Filtering for Semi-Markov-Type Sensor Networks With Hybrid Sojourn-Time Distributions - A Nonmonotonic Approach
Diverse Non-Negative Matrix Factorization for Multiview Data Representation
Hierarchical Multiobjective Heuristic for PCB Assembly Optimization in a Beam-Head Surface Mounter
Event-Triggered Optimal Bipartite Consensus Control for Constrained Multiagent Systems via Internal Reinforce Q-Learning
Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data
Optimal Learning Control Scheme for Discrete-Time Systems With Nonuniform Trials
Adaptive Neural Event-Triggered Fault-Tolerant Control for Uncertain Nonlinear Cyber-Physical Systems With Sensor and Actuator Faults Via Triggered Output Feedback
Cascading Failure in Cyber-Physical Systems: A Review on Failure Modeling and Vulnerability Analysis
Methods for Multiloop Identification of Visual and Neuromuscular Pilot Responses
An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues
A Consensus Community-Based Particle Swarm Optimization for Dynamic Community Detection
Neuronal State Estimation for Neural Networks With Two Additive Time-Varying Delay Components
Learning Through Deterministic Assignment of Hidden Parameters
A Fault Diagnosability Evaluation Method for Dynamic Systems Without Distribution Knowledge
Discernibility Measures for Fuzzy β Covering and Their Application
Mixed Event-Triggered Output Regulation for Networked Switched Systems With Unstable Switching Dynamics Under Long-Duration DoS Attacks
Wireless Sensing and Vibration Control With Increased Redundancy and Robustness Design
Consensus of Leader-Following Multiagent Systems: A Distributed Event-Triggered Impulsive Control Strategy
Consensus for Heterogeneous Multiagent Systems: Output Rate-Coded Secure Control
Robust Cooperative Optimal Sliding-Mode Control for High-Order Nonlinear Systems: Directed Topologies
Multi-Instant Gain-Scheduling Fuzzy Observer of Discrete-Time Takagi-Sugeno Systems and Its Application: An Efficient Balanced Matrix Approach
Graph Regularized Structured Output SVM for Early Expression Detection With Online Extension
Collision-Free Path Planning and Delivery Sequence Optimization in Noncoplanar Radiation Therapy
Image Cosegmentation by Incorporating Color Reward Strategy and Active Contour Model
Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors
A Survey of Cognitive Architectures in the Past 20 Years
Protecting Vaccine Safety: An Improved, Blockchain-Based, Storage-Efficient Scheme
Treelets Binary Feature Retrieval for Fast Keypoint Recognition
Nonasymptotic Mean-Field Games
Linear Quadratic Optimal Control of Time-Invariant Linear Networks With Selectable Input Matrix
Group Decision Making Based on Heronian Aggregation Operators of Intuitionistic Fuzzy Numbers
Distributed Robust Optimization Algorithms Over Uncertain Network Graphs
Sampled-Data-Based H ∞ Synchronization of Switched Coupled Neural Networks
Membership-Functions-Dependent Resilient Hybrid-Triggered Passivity Control for Networked Fuzzy Systems Against Deception Attacks
Adversarial Examples for Hamming Space Search
Consensus Tracking of Heterogeneous Discrete-Time Networked Multiagent Systems Based on the Networked Predictive Control Scheme
Distributed Event-Triggered Synchronization of Interconnected Linear Two-Time-Scale Systems With Switching Topology
A New Perspective to Graphical Characterization of Multiagent Controllability
A Closed-Loop Output Error Approach for Physics-Informed Trajectory Inference Using Online Data
Data-Driven Linear Quadratic Optimization for Controller Synthesis With Structural Constraints
Recurrent Broad Learning Systems for Time Series Prediction
n-Dimensional Discrete Cat Map Generation Using Laplace Expansions
Fast Cross-Modal Hashing With Global and Local Similarity Embedding
Semi-Supervised Domain Alignment Learning for Single Image Dehazing
An Event-Triggered Approach to State Estimation for a Class of Complex Networks With Mixed Time Delays and Nonlinearities
Global Exponential Stability and Synchronization for Novel Complex-Valued Neural Networks With Proportional Delays and Inhibitory Factors
Empirical Policy Optimization for n-Player Markov Games
TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging
Fuzzy H ∞ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method
Siamese Adaptive Network-Based Accurate and Robust Visual Object Tracking Algorithm for Quadrupedal Robots
Precedence-Constrained Colored Traveling Salesman Problem: An Augmented Variable Neighborhood Search Approach
Intelligent Event-Based Fuzzy Dynamic Positioning Control of Nonlinear Unmanned Marine Vehicles Under DoS Attack
The Global Consensus Active Fault Diagnosis for Steam Pipeline Considering Leakage Fault Modeling: A Multitime-Scale-Based Set-Membership Observer Approach
Adaptive Fuzzy Output-Feedback Stabilization Control for a Class of Switched Nonstrict-Feedback Nonlinear Systems
Memory-Based Event-Triggering H ∞ Load Frequency Control for Power Systems Under Deception Attacks
Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems
Many-Objective Evolutionary Algorithm With Reference Point-Based Fuzzy Correlation Entropy for Energy-Efficient Job Shop Scheduling With Limited Workers
Probabilistic Regularized Extreme Learning Machine for Robust Modeling of Noise Data
Large-Scale Robust Semisupervised Classification
Differently Implicational Bandler-Kohout Subproduct Method
Event-Based Nonsingular Fixed-Time Tracking Control of an Uncertain Manipulator System Subject to Full-State Static Constraints
Globally Exponentially Stable Tracking Control of Self-Restructuring Nonlinear Systems
Addressing Hindsight Bias in Multigoal Reinforcement Learning
Neuroadaptive Cooperative Fault-Tolerant Control of Heterogeneous Multiagent Systems Based on Fully Actuated System Approaches
KANTS: A Stigmergic Ant Algorithm for Cluster Analysis and Swarm Art
Spherical Blurred Shape Model for 3-D Object and Pose Recognition: Quantitative Analysis and HCI Applications in Smart Environments
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data
Consensus Reaching Based on Social Influence Evolution in Group Decision Making
Stabilization of Positive Systems With Time Delay via the Takagi-Sugeno Fuzzy Impulsive Control
Dynamic Event-Triggered Adaptive NN Control for Switched Uncertain Nonlinear Systems
Push-Sum Distributed Online Optimization With Bandit Feedback
Stochastic Dual Simplex Algorithm: A Novel Heuristic Optimization Algorithm
Cold-Start Active Sampling Via γ-Tube
Time-Delay Neural Network for Continuous Emotional Dimension Prediction From Facial Expression Sequences
An Explicit Nonlinear Mapping for Manifold Learning
Finite-Time Coverage Control for Multiagent Systems With Unidirectional Motion on a Closed Curve
On Distributed Implementation of Switch-Based Adaptive Dynamic Programming
IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering
Efficient Algorithm for Approximating Nash Equilibrium of Distributed Aggregative Games
Fractional Approximation of Broad Learning System
Finite-Time Time-Varying Formation Tracking for Heterogeneous Nonlinear Multiagent Systems Using Adaptive Output Regulation
Link Between and Comparison and Combination of Zhang Neural Network and Quasi-Newton BFGS Method for Time-Varying Quadratic Minimization
Partial-Nodes-Based Distributed Fault Detection and Isolation for Second-Order Multiagent Systems With Exogenous Disturbances
Combating Curse of Dimensionality in Resilient Monitoring Systems: Conditions for Lossless Decomposition
Event-Based Secure Leader-Following Consensus Control for Multiagent Systems With Multiple Cyber Attacks
Finite-Time Synchronization and ℋ ∞ Synchronization of Multiweighted Complex Networks With Adaptive State Couplings
Hybrid Recurrent Neural Network Architecture-Based Intention Recognition for Human-Robot Collaboration
Robust Face Hallucination via Locality-Constrained Bi-Layer Representation
Barrier Lyapunov Function Based Learning Control of Hypersonic Flight Vehicle With AOA Constraint and Actuator Faults
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
An Analysis on Optimal Attack Schedule Based on Channel Hopping Scheme in Cyber-Physical Systems
A Hybrid Learning Method for Constructing Compact Rule-Based Fuzzy Models
Group Role Three-Way Assignment for Managing Uncertainty in Role Negotiation
Fixed-Time Cooperative Tracking Control for Double-Integrator Multiagent Systems: A Time-Based Generator Approach
Asymptotic Tracking Control of State-Constrained Nonlinear Systems With Time-Varying Powers
Modeling and Balancing for Disassembly Lines Considering Workers With Different Efficiencies
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents
Domain Perturbation With Uncertainty for Bearing Fault Diagnosis Under Unseen Conditions
Spatial Decomposition-Based Fault Detection Framework for Parabolic-Distributed Parameter Processes
Multiview Graph Restricted Boltzmann Machines
Network-Based Practical Consensus of Heterogeneous Nonlinear Multiagent Systems
Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning
HSELL-Net: A Heterogeneous Sample Enhancement Network With Lifelong Learning Under Industrial Small Samples
Learning A Superpixel-Driven Speed Function for Level Set Tracking
Inexact Primal-Dual Algorithm for DMPC With Coupled Constraints Using Contraction Theory
Online Tool Condition Monitoring Based on Parsimonious Ensemble+
Stabilization for a Class of Switched Nonlinear Systems With Novel Average Dwell Time Switching by T-S Fuzzy Modeling
Coalition Formation and Spectrum Sharing of Cooperative Spectrum Sensing Participants
A Cluster-Based Differential Evolution With Self-Adaptive Strategy for Multimodal Optimization
New Results on Stability and Stabilization of Networked Control Systems With Short Time-Varying Delay
Distributed Dynamic Self-Triggered Impulsive Control for Consensus Networks: The Case of Impulse Gain With Normal Distribution
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning
A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification
Security-Based Passivity Analysis of Markov Jump Systems via Asynchronous Triggering Control
Distributed Cooperative Optimal Control for Multiagent Systems on Directed Graphs: An Inverse Optimal Approach
A Novel Decision-Tree Method for Structured Continuous-Label Classification
Data Partition Learning With Multiple Extreme Learning Machines
A Constrained Many-Objective Optimization Evolutionary Algorithm With Enhanced Mating and Environmental Selections
Multiagent Self-Redundancy Identification and Tuned Greedy-Exploration
Adaptive Event-Triggered Finite-Time Dissipative Filtering for Interval Type-2 Fuzzy Markov Jump Systems With Asynchronous Modes
Data-Driven Adaptive Probabilistic Robust Optimization Using Information Granulation
Kullback-Leibler Divergence-Based Optimal Stealthy Sensor Attack Against Networked Linear Quadratic Gaussian Systems
Multidimensional Adaptation in MAS Organizations
Optimal Group Size for Software Change Tasks: A Social Information Foraging Perspective
Prescribed-Time Bipartite Synchronization for General Linear Multiagent Systems: An Adaptive Dynamic Output-Feedback Strategy
Learning Discriminative Key Poses for Action Recognition
Data-Driven Tube-Based Robust Predictive Control for Constrained Wastewater Treatment Process
Resilient Consensus Control for Multiple UAVs With Input Saturation Under DoS Attacks
Predefined-Time Adaptive Neural Control for Nonlinear Systems With Unknown Interconnections
Handling Constrained Many-Objective Optimization Problems via Problem Transformation
Differentially Private Consensus With Quantized Communication
Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification
Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series
DIOD: Fast and Efficient Weakly Semi-Supervised Deep Complex ISAR Object Detection
Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms
Rotated Sphere Haar Wavelet and Deep Contractive Auto-Encoder Network With Fuzzy Gaussian SVM for Pilot's Pupil Center Detection
Distributed Adaptive Leader-Following Consensus for Nonlinear Multiagent Systems With Actuator Failures Under Directed Switching Graphs
Event-Triggered Fault Detection Filter Design for a Continuous-Time Networked Control System
Designing Event-Triggered Observers for Distributed Tracking Consensus of Higher-Order Multiagent Systems
A Relative Projection-Based Multiattribute Group Decision-Making Model With Noncooperative Behavior Management and Application to NEV Supplier Selection
A Steering-Matrix-Based Multiobjective Evolutionary Algorithm for High-Dimensional Feature Selection
Asynchronous Sampled-Data Filtering Design for Fuzzy-Affine-Model-Based Stochastic Nonlinear Systems
Predefined Time and Prespecified Precision for Bearing-Constrained AAV Swarm
Reachable Set Estimation for Markovian Jump Neural Networks With Time-Varying Delays
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding
A Differential Evolution Algorithm With Adaptive Niching and K-Means Operation for Data Clustering
Data-Driven Adaptive Control for Discrete-Time Linear Systems With Delayed Inputs
Fast Frequent Patterns Mining by Multiple Sampling With Tight Guarantee Under Bayesian Statistics
Incremental Class Learning for Hierarchical Classification
Asynchronous Adaptive Fault-Tolerant Sliding-Mode Control for T-S Fuzzy Singular Markovian Jump Systems With Uncertain Transition Rates
A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition
Empirical Sensitivity Analysis of Discretization Parameters for Fault Pattern Extraction From Multivariate Time Series Data
Intuitionistic Multiplicative Group Analytic Hierarchy Process and Its Use in Multicriteria Group Decision-Making
Memristor-Based Neural Network Circuit With Multimode Generalization and Differentiation on Pavlov Associative Memory
Co-Design of 2-D Event Generator and Sliding Mode Controller for 2-D Roesser Model via Genetic Algorithm
Dynamic Analysis and Neural-Adaptive Prescribed-Time Control of the FO Memristive Magnetic-Field Electromechanical Transducer
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Prescribed-Time Consensus Tracking of Multiagent Systems With Nonlinear Dynamics Satisfying Time-Varying Lipschitz Growth Rates
PAM-DenseNet: A Deep Convolutional Neural Network for Computer-Aided COVID-19 Diagnosis
Visual Object Tracking by Hierarchical Attention Siamese Network
Natural Modal Sketching Network: An Interpretable Approach for Bearing Impulsive Feature Extraction
Resilient Observer-Based Control for Cyber-Physical Systems With Multiple Transmission Channels Under Denial-of-Service
Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition
Resilient Asynchronous H ∞ Filtering for Markov Jump Neural Networks With Unideal Measurements and Multiplicative Noises
Hierarchical Deep Embedding for Aurora Image Retrieval
A Two-Stage Approach for Constructing Type-2 Information Granules
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy
Predefined-Time Adaptive Neural Tracking Control of Switched Nonlinear Systems
A Data-Driven Aero-Engine Degradation Prognostic Strategy
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction
Optimal Decision-Making in an Opportunistic Sensing Problem
Distributed Adaptive Consensus of Nonlinear Heterogeneous Agents With Delayed and Sampled Neighbor Measurements
Reduced Adaptive Fuzzy Decoupling Control for Lower Limb Exoskeleton
Online Scale Adaptive Visual Tracking Based on Multilayer Convolutional Features
Event-Based Integral Sliding-Mode Consensus Control for Networked Multiagent Systems With State Quantization
Graph-Attention-Based Casual Discovery With Trust Region-Navigated Clipping Policy Optimization
Supervised Learning of Multievent Transition Matrices in Fuzzy Discrete-Event Systems
Constructive Neural Network Learning
Evolutionary Multitask Optimization for Multiform Feature Selection in Classification
Design and Implementation of a Reconfigurable Corrective Control System Subject to Permanent Faults in the Controller
Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification
Intermittent Observer for Chaotic Lur'e Systems With Multi-Nondifferentiable Delay and Partially Limited Output Channels and Its Application to Secure Communication
Automated Design of Fault Diagnosis CNN Network for Satellite Attitude Control Systems
Distributed Fault-Tolerant Formation Tracking Control for Multiagent Systems With Multiple Leaders and Constrained Actuators
Relative Saliency Model over Multiple Images with an Application to Yarn Surface Evaluation
Background Extraction Using Random Walk Image Fusion
Adaptive Consensus-Based Distributed Target Tracking With Dynamic Cluster in Sensor Networks
Conflict Constrained Control for Switched Multiagent Systems With Nonaffine Nonlinear Faults and Uncertainties
Data-Driven Distributed Information-Weighted Consensus Filtering in Discrete-Time Sensor Networks With Switching Topologies
Learning Contrastive Evolving Micro-Clusters for Robust Semi-Supervised Data Stream Classification
Cooperative Output Regulation of Heterogeneous Linear Multi-Agent Systems by Event-Triggered Control
Consensus Switching of Second-Order Multiagent Systems With Time Delay
SPH-Net: Hyperspectral Image Super-Resolution via Smoothed Particle Hydrodynamics Modeling
Robust Learning With Kernel Mean p-Power Error Loss
End-to-End Video-to-Speech Synthesis Using Generative Adversarial Networks
Event-Triggered Resilient L ∞ Control for Markov Jump Systems Subject to Denial-of-Service Jamming Attacks
Two-Stream Spatial-Temporal Graph Convolutional Networks for Driver Drowsiness Detection
Decision and Event-Based Fixed-Time Consensus Control for Electromagnetic Source Localization
Adaptive Decentralized Controller Design for a Class of Switched Interconnected Nonlinear Systems
Unbounded Motion Optimization by Developmental Learning
A 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification
Game-Based Event-Triggered Control for Unmanned Surface Vehicle: Algorithm Design and Harbor Experiment
Bipartite Consensus Tracking via Reinforcement-Learning-Based Time-Synchronized Control
Cooperative Particle Swarm Optimization With a Bilevel Resource Allocation Mechanism for Large-Scale Dynamic Optimization
Task-Oriented Deep Reinforcement Learning for Robotic Skill Acquisition and Control
Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network
Model-Based Event-Triggered Sliding-Mode Control for Multi-Input Systems: Performance Analysis and Optimization
Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
Hybrid Visual-Ranging Servoing for Positioning Based on Image and Measurement Features
On Constructing Seminal Paper Genealogy
Adaptive Fuzzy Tracking Control for a Class of Uncertain Switched Nonlinear Systems With Full-State Constraints and Input Saturations
Consensus Reaching Process for Traditional Group Decision Making in View of the Optimal Adjustment Mechanism
Robust Standard Gradient Descent Algorithm for ARX Models Using Aitken Acceleration Technique
Design of Cascade Equivalent-Input-Disturbance Estimator for Control System Under High-Frequency Noise
Off-Policy Reinforcement Learning for H ∞ Control Design
Consensus and Stability Analysis of Networked Multiagent Predictive Control Systems
Formalization of Generalized Constraint Language: A Crucial Prelude to Computing With Words
Sparse Actuator Attack Detection and Identification: A Data-Driven Approach
Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition
Novel Stability Criteria of Asynchronously Switched Nonlinear Neutral Time-Delay Systems
Adaptive Consensus Control of Linear Multiagent Systems With Dynamic Event-Triggered Strategies
An Elite Gene Guided Reproduction Operator for Many-Objective Optimization
Distribution-Based Cluster Structure Selection