yusuke1997/dblp-id-title huggingface dataset:
Distributed Impulsive Quasi-Synchronization of Lur'e Networks With Proportional Delay
Semisupervised Laplace-Regularized Multimodality Metric Learning
Shift-Based Penalty for Evolutionary Constrained Multiobjective Optimization and its Application
Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order
Frequency Spectrum Modification Process-Based Anti-Collusion Mechanism for Audio Signals
Leader-Following Consensus for High-Order Nonlinear Stochastic Multiagent Systems
Consensus Control With Failure - Wait or Abandon?
Distributed Event-Triggered Consensus of General Linear Multiagent Systems Under Directed Graphs
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning
Discriminative Hash Tracking With Group Sparsity
Semi-Global Stabilization of Discrete-Time Linear Systems Subject to Infinite Distributed Input Delays and Actuator Saturations
Sliced Inverse Regression With Adaptive Spectral Sparsity for Dimension Reduction
Nonlinear Disturbance Observer-Based Fault-Tolerant Sliding-Mode Control for 2-D Plane Vehicular Platoon With UTVFD and ANAS
Creating Discriminative Models for Time Series Classification and Clustering by HMM Ensembles
H ∞ Exponential Synchronization of Complex Networks: Aperiodic Sampled-Data-Based Event-Triggered Control
A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data
Prescribed-Time Fault Estimation and Unknown Input Compensation by Using Periodic Delayed Approach
Memristor-Based CMAC Neural Network Circuit of Artificial Fish Behavioral Decision With Fuzzy Emotion and Its Application
On Group Synchronization for Interacting Clusters of Heterogeneous Systems
Event-Triggered Model-Free Adaptive Iterative Learning Control for a Class of Nonlinear Systems Over Fading Channels
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
Consistency-Induced Multiview Subspace Clustering
Distributed Finite-Time Containment Control for Double-Integrator Multiagent Systems
Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization
Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks
Fully Distributed Synchronization of Complex Networks With Adaptive Coupling Strengths
NADM: Noise-Aware Diffusion Model for Landscape Painting Video Generation
A New View on Biodynamic Feedthrough Analysis: Unifying the Effects on Forces and Positions
Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks
Leader-Following Consensus of Time-Scale-Type Heterogeneous Nonlinear MASs via Periodic Event-Triggered Control
Sampled-Data H ∞ Dynamic Output-Feedback Control for NCSs With Successive Packet Losses and Stochastic Sampling
New Contour Cue-Based Hybrid Sparse Learning for Salient Object Detection
Distributed Resilient Secondary Control Strategy Considering Economic Dispatch for DC Microgrids: A Dynamic Event-Triggered Mechanism
Modeling Sequential Annotations for Sequence Labeling With Crowds
Fully Adaptive-Gain-Based Intelligent Failure-Tolerant Control for Spacecraft Attitude Stabilization Under Actuator Saturation
Leader-Following Consensus With Prescribed Time-Bound and Order of Multiagent Systems With Increasing Scales: A Chain-Patterned Approach
Robust Model Free Adaptive Predictive Control for Wastewater Treatment Process With Packet Dropouts
Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image
Security Games With Unknown Adversarial Strategies
Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems
Evolutionary Multiobjective Image Feature Extraction in the Presence of Noise
Adaptive Neural Control for Hysteretic Nonlinear Systems With Hysteresis Neural Direct Inverse Compensator and Its Application
Coevolutionary Particle Swarm Optimization Using AIS and its Application in Multiparameter Estimation of PMSM
Neural Adaptive Fixed-Time Control for Nonlinear Systems With Full-State Constraints
Manifold Adaptive Label Propagation for Face Clustering
A Cluster Validity Framework Based on Induced Partition Dissimilarity
Rotational Invariant Dimensionality Reduction Algorithms
Hidden-Markov-Model-Based Asynchronous Filter Design of Nonlinear Markov Jump Systems in Continuous-Time Domain
Expanding Training Data for Facial Image Super-Resolution
Optimal Output Consensus of High-Order Multiagent Systems With Embedded Technique
An Efficient Nondominated Sorting Algorithm for Large Number of Fronts
Relative Fuzzy Rough Approximations for Feature Selection and Classification
Design of Fuzzy Functional Observer-Controller via Higher Order Derivatives of Lyapunov Function for Nonlinear Systems
Linear Fuzzy Information-Granule-Based Fuzzy C-Means Algorithm for Clustering Time Series
Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification
Image Hallucination From Attribute Pairs
Trajectory Tracking Control of Pneumatic Servo System: A Variable Gain ADRC Approach
Adaptive Neural Dynamic Surface Control With Prespecified Tracking Accuracy of Uncertain Stochastic Nonstrict-Feedback Systems
Fault Diagnosis of Tennessee-Eastman Process Using Orthogonal Incremental Extreme Learning Machine Based on Driving Amount
Incentive Stackelberg Games for Stochastic Linear Systems With $H_\infty$ Constraint
Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace
A Novel Finite-Sum Inequality-Based Method for Robust H ∞ Control of Uncertain Discrete-Time Takagi-Sugeno Fuzzy Systems With Interval-Like Time-Varying Delays
H ∞ Codesign for Uncertain Nonlinear Control Systems Based on Policy Iteration Method
Dissipativity-Based Intermittent Fault Detection and Tolerant Control for Multiple Delayed Uncertain Switched Fuzzy Stochastic Systems With Unmeasurable Premise Variables
Architecture Augmentation for Performance Predictor via Graph Isomorphism
Person Reidentification in a Distributed Camera Network Framework
Learning Latent Stable Patterns for Image Understanding With Weak and Noisy Labels
Dynamic Double Event-Triggered Anti-Disturbance Tracking Control for a 2-DOF Small Unmanned Helicopter
Human Age Estimation Based on Locality and Ordinal Information
Static and Dynamic Event-Triggered Mechanisms for Distributed Secondary Control of Inverters in Low-Voltage Islanded Microgrids
Event-Driven Control for Networked Control Systems With Quantization and Markov Packet Losses
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling
A Study on Estimation of Joint Force Through Isometric Index Finger Abduction With the Help of SEMG Peaks for Biomedical Applications
Predictor-Based Periodic Event-Triggered Control for Dual-Rate Networked Control Systems With Disturbances
Cooperative Adaptive Model-Free Control With Model-Free Estimation and Online Gain Tuning
An Economic Model Predictive Control for Knowledge Transmission Processes in Multilayer Complex Networks
Sampled-Data-Based Dissipative Stabilization of IT-2 TSFSs Via Fuzzy Adaptive Event-Triggered Protocol
Reliability Modeling and Life Estimation Using an Expectation Maximization Based Wiener Degradation Model for Momentum Wheels
Composite Anti-Disturbance Control for Networked Systems With Disturbances and Actuator Attacks via Event-Triggered Output Feedback
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II
Semi-Flocking Algorithm for Motion Control of Mobile Sensors in Large-Scale Surveillance Systems
Visual Relationship Detection: A Survey
Finite-Time Convergent Primal-Dual Gradient Dynamics With Applications to Distributed Optimization
Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme
A Common Topic Transfer Learning Model for Crossing City POI Recommendations
Angle Rigidity-Based Communication-Free Adaptive Formation Control for Nonlinear Multiagent Systems With Prescribed Performance
Sideslip-Compensated Guidance-Based Adaptive Neural Control of Marine Surface Vessels
Bifurcation and Oscillatory Dynamics of Delayed Cyclic Gene Networks Including Small RNAs
Shifting Attack Stabilization and Estimation of Hidden Markov Boolean Networks
Interaction-Aware Transformer Network for Human-Object Interaction Detection
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective
Memorial GAN With Joint Semantic Optimization for Unpaired Image Captioning
Small Low-Contrast Target Detection: Data-Driven Spatiotemporal Feature Fusion and Implementation
A Discrete Artificial Bee Colony Algorithm for Multiobjective Disassembly Line Balancing of End-of-Life Products
A Swarm-Based Distributed Model Predictive Control Scheme for Autonomous Vehicle Formations in Uncertain Environments
A Unifying Framework for Human-Agent Collaborative Systems - Part I: Element and Relation Analysis
Unsupervised Visual-Textual Correlation Learning With Fine-Grained Semantic Alignment
Global Stability of Bidirectional Associative Memory Neural Networks With Multiple Time-Varying Delays
Hybrid Orientation and Position Collaborative Motion Generation Scheme for a Multiple Mobile Redundant Manipulator System Synthesized by a Recurrent Neural Network
Adaptive Fuzzy Finite-Time Control for Nonstrict-Feedback Nonlinear Systems
Real-Time 3-D Semantic Scene Parsing With LiDAR Sensors
A New Belief-Based Bidirectional Transfer Classification Method
Target Controllability of Two-Layer Multiplex Networks Based on Network Flow Theory
Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming
Accommodating Strategic Players in Distributed Algorithms for Power Dispatch Problems
Robust Asymptotic Fault Estimation of Discrete-Time Interconnected Systems With Sensor Faults
Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent
Sampled-Data Consensus Protocols for a Class of Second-Order Switched Nonlinear Multiagent Systems
Nonsmooth Penalized Clustering via ℓ p Regularized Sparse Regression
Fault Tolerant Sliding Mode Predictive Control for Uncertain Steer-by-Wire System
Hierarchical Modularization Of Biochemical Pathways Using Fuzzy-C Means Clustering
Unknown System Dynamics Estimator for Active Vehicle Suspension Control Systems With Time-Varying Delay
Anti-Quasisynchronization for Asynchronous Leader-Follower Markovian Neural Networks With Hidden Markov Model-Based Intermittent Control
Fuzzy Neural Network Technique for System State Forecasting
Feature-Related Searching Control Model for Curve Detection
Relation Regularized Scene Graph Generation
Nonparametric Bayesian Prior Inducing Deep Network for Automatic Detection of Cognitive Status
iHPPPVis: Interactive Visual Analytics Approach for Production Performance Monitoring of Heavy-Plate Production Process
On Bicon-Numbers With Their Basic Properties and Applications in Quantum Systems
Semi-Supervised Image-to-Video Adaptation for Video Action Recognition
A Distributed Topology-Protecting Collaboration Algorithm: Design and Performance Analysis
Distributed Control Problems on Signed Networks Under Mixed Static and Dynamic Protocols
Evolutionary Stability of Discriminating Behaviors With the Presence of Kin Cheaters
Accurate Estimation of Human Body Orientation From RGB-D Sensors
Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning
Toward Occlusion Handling in Visual Tracking via Probabilistic Finite State Machines
Multihorizon KPI Forecasting in Complex Industrial Processes: An Adaptive Encoder-Decoder Framework With Partial Teacher Forcing
A Multiview Learning Framework With a Linear Computational Cost
Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring
Almost Periodicity in Impulsive Fractional-Order Reaction-Diffusion Neural Networks With Time-Varying Delays
Output Tracking Control of Single-Input-Multioutput Systems Over an Erasure Channel
Approximation and Parameterized Runtime Analysis of Evolutionary Algorithms for the Maximum Cut Problem
Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model
Optimization of Granulation-Degranulation Mechanism Through Neurocomputing
Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features
Fault Detection for Systems With Model Uncertainty and Disturbance via Coprime Factorization and Gap Metric
Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy
Neural Controller Design-Based Adaptive Control for Nonlinear MIMO Systems With Unknown Hysteresis Inputs
Robust Matrix Completion With Column Outliers
Observer-Based Dissipativity Control for T-S Fuzzy Neural Networks With Distributed Time-Varying Delays
MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting
Model Predictive Control With Guaranteed Feasibility of Inequality Path Constraints
Salient Feature of Haptic-Based Guidance of People in Low Visibility Environments Using Hard Reins
Consensus-Based Odor Source Localization by Multiagent Systems Under Resource Constraints
A Distributed Projection Operator-Based Unknown Input Observer for Attack Estimation and Mitigation on DC Microgrids
Dynamic Graph Regularized Broad Learning With Marginal Fisher Representation for Noisy Data Classification
ℋ ∞ Containment Control of Multiagent Systems Under Event-Triggered Communication Scheduling: The Finite-Horizon Case
Learning-Based Control Policy and Regret Analysis for Online Quadratic Optimization With Asymmetric Information Structure
Asynchronous Dissipative Control for Fuzzy Markov Jump Systems
Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems
Efficient Heuristic Algorithms for Single-Vehicle Task Planning With Precedence Constraints
Turbo Processing for Speech Recognition
Multitask Spectral Clustering by Exploring Intertask Correlation
Distributed Fault Estimation Observer Design With Adjustable Parameters for a Class of Nonlinear Interconnected Systems
Flexible Multiview Spectral Clustering With Self-Adaptation
Evolutionary Multitasking Multilayer Network Reconstruction
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints
Switching Structured Prediction for Simple and Complex Human Activity Recognition
Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency Between Embedding Vectors
Topic Model for Graph Mining
An Incremental Type-2 Meta-Cognitive Extreme Learning Machine
Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics
Fully Distributed Adaptive Event-Triggered Control of Networked Systems With Actuator Bias Faults
Practically Predefined-Time Adaptive Fuzzy Tracking Control for Nonlinear Stochastic Systems
Degeneration Recognizing Clonal Selection Algorithm for Multimodal Optimization
NATAS: Neural Activity Trace Aware Saliency
Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning
Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion
Graph Simplification-Aided ADMM for Decentralized Composite Optimization
Predicting Network Controllability Robustness: A Convolutional Neural Network Approach
FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks
Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces
A Concurrent Multiple Negotiation Protocol Based on Colored Petri Nets
Double-Integrator Dynamics for Multiagent Systems With Antagonistic Reciprocity
Asymptotic Fuzzy Neural Network Control for Pure-Feedback Stochastic Systems Based on a Semi-Nussbaum Function Technique
Barrier Lyapunov Function-Based Adaptive Fuzzy FTC for Switched Systems and Its Applications to Resistance-Inductance-Capacitance Circuit System
Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics
Learning Kernel for Conditional Moment-Matching Discrepancy-Based Image Classification
Off-Policy Actor-Critic Structure for Optimal Control of Unknown Systems With Disturbances
Multiview Classification With Cohesion and Diversity
Novel Fuzzy Modeling and Synchronization of Chaotic Systems With Multinonlinear Terms by Advanced Ge-Li Fuzzy Model
Investigating the Bilateral Connections in Generative Zero-Shot Learning
Two-Layer Reinforcement Learning for Output Consensus of Multiagent Systems Under Switching Topology
An End-to-End Framework for Energy-Efficient Cascaded Dual-Shop Collaborative Scheduling With Mating Operations
No Need for Landmarks: An Embodied Neural Controller for Robust Insect-Like Navigation Behaviors
A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks
Evolving Transport Networks With Cellular Automata Models Inspired by Slime Mould
Face Detection With Different Scales Based on Faster R-CNN
DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection
Control Synthesis of Hidden Semi-Markov Uncertain Fuzzy Systems via Observations of Hidden Modes
Finite-Time Adaptive Control for a Class of Nonlinear Systems With Nonstrict Feedback Structure
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold
Cooperative Output Regulation Problem of Nonlinear Multiagent Systems With Proximity Graph via Output Feedback Control
Fixed-Time Leader-Follower Output Feedback Consensus for Second-Order Multiagent Systems
Event-Triggered Multiagent Optimization for Two-Layered Model of Hybrid Energy System With Price Bidding-Based Demand Response
Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment
Fully Distributed Event-Triggered Optimal Coordinated Control for Multiple Euler-Lagrangian Systems
Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering
Understanding Smartphone Users From Installed App Lists Using Boolean Matrix Factorization
Describing Video With Attention-Based Bidirectional LSTM
Torus-Event-Based Fault Diagnosis for Stochastic Multirate Time-Varying Systems With Constrained Fault
Dissipativity-Based Consensus Tracking of Singular Multiagent Systems With Switching Topologies and Communication Delays
Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization
Output-Constrained Prescribed Performance Control of MIMO Nonlinear Systems With a Priori Unknown References
Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System
Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form
Semantic Correlation Attention-Based Multiorder Multiscale Feature Fusion Network for Human Motion Prediction
Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming
Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents
Game-Based Consensus of Hybrid Multiagent Systems
Learning Motor Cues in Brain-Muscle Modulation
Saliency Detection by Multiple-Instance Learning
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence
Manifold Partition Discriminant Analysis
Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming
Passivity and Synchronization for Fuzzy Coupled Reaction-Diffusion Neural Networks With Multiweights
Time-Varying Optimization-Based Approach for Distributed Formation of Uncertain Euler-Lagrange Systems
Massive Coordination of Distributed Energy Resources in VPP: A Mean Field RL-Based Bi-Level Optimization Approach
DLIN: Deep Ladder Imputation Network
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming
Transfer Independently Together: A Generalized Framework for Domain Adaptation
Average Quasi-Consensus Algorithm for Distributed Constrained Optimization: Impulsive Communication Framework
Accelerating Sequential Minimal Optimization via Stochastic Subgradient Descent
Distributed $k$ -Means Algorithm and Fuzzy $c$ -Means Algorithm for Sensor Networks Based on Multiagent Consensus Theory
Exponential Consensus of Coupled Inertial Agents With the Fully Heterogeneous and Fully Variable Setting of the Control Gains
On Consensus Control of Uncertain Multiagent Systems Based on Two Types of Interval Observers
Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks
Robust Graph Learning From Noisy Data
Distributed Kalman Filtering Over Sensor Networks With Transmission Delays
Tracking Control of Self-Restructuring Systems: A Low-Complexity Neuroadaptive PID Approach With Guaranteed Performance
NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework
Monodirectional Tissue P Systems With Promoters
Distributed Fault-Tolerant Control of Networked Uncertain Euler-Lagrange Systems Under Actuator Faults
Adaptive Fuzzy Output Feedback Fault-Tolerant Compensation for Uncertain Nonlinear Systems With Infinite Number of Time-Varying Actuator Failures and Full-State Constraints
Decentralized Sampled-Data Control for Stochastic Disturbance in Interconnected Power Systems With PMSG-Based Wind Turbines
Couple-Group Consensus of Cooperative-Competitive Heterogeneous Multiagent Systems: A Fully Distributed Event-Triggered and Pinning Control Method
Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval
An FHN-HR Neuron Network Coupled With a Novel Locally Active Memristor and Its DSP Implementation
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview
Adaptive Approximation-Based Tracking Control for a Class of Unknown High-Order Nonlinear Systems With Unknown Powers
Multiview Spectral Clustering via Robust Subspace Segmentation
Optimal Classification by Mixed-Initiative Nested Thresholding
Closeness-Centrality-Based Synchronization Criteria for Complex Dynamical Networks With Interval Time-Varying Coupling Delays
An Accelerated Adaptive Gain Design in Stochastic Learning Control
Distributed Optimization Based on a Multiagent System Disturbed by General Noise
Neuro-Adaptive Consensus Tracking of Multiagent Systems With a High-Dimensional Leader
A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition
Adaptive Predefined Time Control for Stochastic Switched Nonlinear Systems With Full-State Error Constraints and Input Quantization
Self-Organizing RBF Neural Network Using an Adaptive Gradient Multiobjective Particle Swarm Optimization
A Similarity-Based Classification Framework for Multiple-Instance Learning
Hesitant Fuzzy Thermodynamic Method for Emergency Decision Making Based on Prospect Theory
Fast Practical Fixed-Time Prescribed Performance Control for Nonlinear Systems With Unmodeled Dynamics
AutoBCS: Block-Based Image Compressive Sensing With Data-Driven Acquisition and Noniterative Reconstruction
Exponential ℋ ∞ Filtering for Discrete-Time Switched Neural Networks With Random Delays
Finite-Time Continuous Nonsingular Terminal Modified Adaptive-Gain Super-Twisting Control: Application to a 2-DOF Planar Robot Manipulator System
Dual Event-Triggered Spatial Model Predictive Control for Distributed Thermal Processes
Almost Sure Stabilization of Continuous-Time Jump Linear Systems via a Stochastic Scheduled Controller
Cross-Subject EEG Feedback for Implicit Image Generation
Event-Triggered Finite-Time Stabilization of Delayed T-S Fuzzy Systems on Time Scales
Distributed Joint Detection, Tracking, and Classification via Labeled Multi-Bernoulli Filtering
Low-Rank Discriminant Embedding for Multiview Learning