yusuke1997/dblp-id-title huggingface dataset:
Multitasking Feedback Optimization Algorithm Based on an Evolutionary State Estimator
Guest Editorial Special Issue on Computational Intelligence for Software Engineering and Services Computing
Multiskin Color Segmentation Through Morphological Model Refinement
Reservoir Network With Structural Plasticity for Human Activity Recognition
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision
MUSTER: A Multi-Scale Transformer-Based Decoder for Semantic Segmentation
A Model-Driven Methodology for the Design of Autonomic and Cognitive IoT-Based Systems: Application to Healthcare
Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation
Mutually Adaptable Learning
SR-ABR: Super Resolution Integrated ABR Algorithm for Cloud-Based Video Streaming
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals
Multi-Domain Active Learning: Literature Review and Comparative Study
Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis
Change Detection in Landsat Images Using Unsupervised Learning and RBF-Based Clustering
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework
StreamSoNG: A Soft Streaming Classification Approach
CIGF-Net: Cross-Modality Interaction and Global-Feature Fusion for RGB-T Semantic Segmentation
Enhanced Self-Attention Mechanism for Long and Short Term Sequential Recommendation Models
CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution
Communication Efficient Federated Learning With Heterogeneous Structured Client Models
Prescribed-Time Optimal Consensus for Switched Stochastic Multiagent Systems: Reinforcement Learning Strategy
FedSlate: A Federated Deep Reinforcement Learning Recommender System
Moving Vehicle Classification Using Wireless Acoustic Sensor Networks
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition
Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning
Insights on Transfer Optimization: Because Experience is the Best Teacher
Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros
Generative Adversarial Network Based Image-Scaling Attack and Defense Modeling
Autopilot Controller of Fixed-Wing Planes Based on Curriculum Reinforcement Learning Scheduled by Adaptive Learning Curve
Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm
A Two-Stage Privacy-Preserving Domain Adaptation for Industrial Time-Series Prediction
Decentralized Triggering and Event-Based Integral Reinforcement Learning for Multiplayer Differential Game Systems
Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning
Auxiliary Learning for Relation Extraction
Wavelet-Based Self-Attention GAN With Collaborative Feature Fusion for Image Inpainting
Efficient Processing of Spiking Neural Networks via Task Specialization
Handwriting Trajectory Reconstruction Using Low-Cost IMU
ESAI: Efficient Split Artificial Intelligence via Early Exiting Using Neural Architecture Search
EEG Analysis for Cognitive Failure Detection in Driving Using Type-2 Fuzzy Classifiers
Unsupervised Monocular Depth Estimation in Highly Complex Environments
Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution
Joint Energy and QoS-Aware Memetic-Based Scheduling for M2M Communications in LTE-M
GT-WHAR: A Generic Graph-Based Temporal Framework for Wearable Human Activity Recognition With Multiple Sensors
A Community-Aware Framework for Social Influence Maximization
3DAttGAN: A 3D Attention-Based Generative Adversarial Network for Joint Space-Time Video Super-Resolution
Monitoring Social Distancing With Single Image Depth Estimation
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients
Towards Hierarchical Temporal Excitation for Video Violence Recognition
Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction
Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis
Fuzzy Ranking-Based Preference Completion via Graph Pattern Matching and Rematching
An Evolving Preference-Based Recommendation System
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications
Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning
PCCA: Position Confidentiality Conserving Algorithm for Content-Protection in e-Governance Services and Applications
Curvature Regularized Similarity Based Ricci Flow Embedding
DUNet: Dual U-Net Architecture for Ocean Eddies Detection and Tracking
Reinforcement Learning on Graphs: A Survey
Enhanced Adjacency-Constrained Hierarchical Clustering Using Fine-Grained Pseudo Labels
(MLE$^{2}$A$^{2}$U)-Net: Image Super-Resolution via Multi-Level Edge Embedding and Aggregated Attentive Upsampler Network
Zeroth-Order Decentralized Dual Averaging for Online Optimization With Privacy Consideration
Applying a Higher Number of Output Membership Functions to Enhance the Precision of a Fuzzy System
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching
A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine
Low-Light Image Enhancement Network Based on Multi-Scale Residual Feature Integration
Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network
SMC-Searcher: Signal Mediated Coordination for Decentralized Multi-Robot Adversarial Moving Target Search
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
Joint Sparse Locality Preserving Regression for Discriminative Learning
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction
Power Line Detection by Pyramidal Patch Classification
State-Observer-Based Adaptive Fuzzy Event-Triggered Formation Control for Nonlinear Multiagent System
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis
Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting
HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images
A Novel Multi-Agent Model-Free Control for State-of-Charge Balancing Between Distributed Battery Energy Storage Systems
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization
Node Clustering on Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy
Learning Sparse Neural Networks Using Non-Convex Regularization
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets
Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer
A Survey of Neurodynamic Optimization
A Model-Driven Approach to Enable Adaptive QoS in DDS-Based Middleware
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement
Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective
Digital Hardware Implementation of Gaussian Wilson-Cowan Neocortex Model
Exploring Abnormal Behavior in Swarm: Identify User Using Adversarial Examples
Solving Multiobjective Combinatorial Optimization via Learning to Improve Method
MFLink: User Identity Linkage Across Online Social Networks via Multimodal Fusion and Adversarial Learning
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph
Dual-Scale Attributed Graph Transformer for Extracting Spatial-Temporal Features With Applications in Quality Index Prediction
Novel Pooling-Based VGG-Lite for Pneumonia and Covid-19 Detection From Imbalanced Chest X-Ray Datasets
PATReId: Pose Apprise Transformer Network for Vehicle Re-Identification
Fitness and Distance Based Local Search With Adaptive Differential Evolution for Multimodal Optimization Problems
A Novel Supervised Control Strategy for Interconnected DFIG-Based Wind Turbine Systems: MiL Validations
Realizing Behavior Level Associative Memory Learning Through Three-Dimensional Memristor-Based Neuromorphic Circuits
Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach
One-Board Design and Simulation of Double-Layer Perceptron Based on Metal-Oxide Memristive Nanostructures
A Survey of Deep Learning Video Super-Resolution
A Hybrid Memetic Algorithm for the Parallel Machine Scheduling Problem With Job Deteriorating Effects
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space
Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
Design of In-Situ Learning Bidirectional Associative Memory Neural Network Circuit With Memristor Synapse
ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training
Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement
VTST: Efficient Visual Tracking With a Stereoscopic Transformer
A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control
Memristor-Based Circuit Design for Neuron With Homeostatic Plasticity
Efficient User Involvement in Semiautomatic Ontology Matching
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data
A Multi-Population Based Evolutionary Algorithm for Many-Objective Recommendations
GAA: Ghost Adversarial Attack for Object Tracking
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm
Joint Domain Adaptation Based on Adversarial Dynamic Parameter Learning
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging
Memristive Circuit Design of Quantized Convolutional Auto-Encoder
A Survey of Multimodal Fake News Detection: A Cross-Modal Interaction Perspective
Multi-Performance Estimation for Deploying Bank Branches Based on a Multi-Task Attentive Tree-Enhanced Model
GA-ComFit: A Genetic Algorithm With Community Fitness Sharing Niching for Multimodal Opinion Maximization
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification
GBG++: A Fast and Stable Granular Ball Generation Method for Classification
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks
Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery
DFEN: A Dual-Feature Extraction Network-Based Open-Set Domain Adaptation Method for Optical Remote Sensing Image Scene Classification
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders
Trustworthy Federated Fine-Tuning for Industrial Chains Demand Forecasting
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models
Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis
Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification
Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition
Multi-Party Privacy-Preserving Faster R-CNN Framework for Object Detection
Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence
Multi-Objective Integrated Energy-Efficient Scheduling of Distributed Flexible Job Shop and Vehicle Routing by Knowledge-and-Learning-Based Hyper-Heuristics
Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval
Fundus Image Enhancement via Semi-Supervised GAN and Anatomical Structure Preservation
Parameterized $L_{0}$ Image Smoothing With Unsupervised Learning
More Practical Coupled Neural Network Systems Under Event-Triggered Impulsive Control: A Novel Study Approach
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes
Flow-Shop Scheduling Problem With Batch Processing Machines via Deep Reinforcement Learning for Industrial Internet of Things
Computational Intelligence for Demand Response Exchange Considering Temporal Characteristics of Load Profile via Adaptive Fuzzy Inference System
An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training
A Novel Random Forest Variant Based on Intervention Correlation Ratio
Event-Triggered Random Delayed Impulsive Consensus of Multi-Agent Systems With Time-Varying Delay
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human-Robot Interaction
Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning
Well-M 3 N: A Maximum-Margin Approach to Unsupervised Structured Prediction
Large-Scale Hierarchical Medical Image Retrieval Based on a Multilevel Convolutional Neural Network
MoAR-CNN: Multi-Objective Adversarially Robust Convolutional Neural Network for SAR Image Classification
Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game
Relative Vehicle Displacement Approach for Path Tracking Adaptive Controller With Multisampling Data Transmission
A Novel Sparrow Search Scheme Based on Enhanced Differential Evolution Operator
Explainability, Robustness, and Fairness in User-Centric Intelligent Systems: A Systematic Review
Harnessing the Power of Knowledge Graphs to Improve Causal Discovery
STDP Based Unsupervised Multimodal Learning With Cross-Modal Processing in Spiking Neural Networks
Universal Quintuple Implicational Algorithm: A Unified Granular Computing Framework
Multidomain Features Fusion for Zero-Shot Learning
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks
Predefined-Time Noise Immunity ZNN Model for Dynamic Quaternion Least Squares Problem and Application to Synchronization of Hyperchaotic Systems
Least Information Spectral GAN With Time-Series Data Augmentation for Industrial IoT
Deep and Structure-Preserving Autoencoders for Clustering Data With Missing Information
Region Mining and Refined Query Improved HOI Detection in Transformer
Adaptive Strategies and its Application in the Mittag-Leffler Synchronization of Delayed Fractional-Order Complex-Valued Reaction-Diffusion Neural Networks
Pedestrian Re-Identification Algorithm Based on Multivariate Manifold Metric-Anti-Noise Manifold Space Learning
TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive
An Hybrid Local Search for the Direct Aperture Optimisation Problem
Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing
Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction
Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition
DualC: Drug-Drug Interaction Prediction Based on Dual Latent Feature Extractions
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification
Guest Editorial: Special Issue on Large-Scale Memristive Systems and Neurochips for Computational Intelligence
Data-Driven Decision-Making (D 3 M): Framework, Methodology, and Directions
Dual Completion Learning for Incomplete Multi-View Clustering
Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones
MSPredictor: A Multi-Scale Dynamic Graph Neural Network for Multivariate Time Series Prediction
Centroid Based Celestial Clustering Algorithm: A Novel Unsupervised Learning Method for Haemogram Data Clustering
Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning
Two-Dimensional Embedded Fuzzy Data Clustering
Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning
MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images
Memristor-Based CNNs for Detecting Stress Using Brain Imaging Signals
A Bilevel Periodically Interactive Evolutionary Algorithm for Personalized Service Customization in Wireless-Powered Cooperative MEC
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles
Modeling and Control of Probabilistic Fuzzy Discrete Event Systems
Z * -Numbers, Data Structures, and Thinking in Machine-Mind Architecture
Learning Error Refinement in Stochastic Gradient Descent-Based Latent Factor Analysis via Diversified PID Controllers
A Cross-Level Interaction Network Based on Scale-Aware Augmentation for Camouflaged Object Detection
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks
Passivity for Multiadaptive Coupled Fractional- Order Reaction-Diffusion Neural Networks
Privacy-Preserving Consensus of Double-Integrator Multi-Agent Systems With Input Constraints
A Deep Integrated Framework for Predicting SARS-CoV2-Human Protein-Protein Interaction
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection
PCR: A Parallel Convolution Residual Network for Traffic Flow Prediction
APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection
A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling
Guest Editorial: Special Issue on Computational Intelligence for Smart Energy Applications to Smart Cities
Triplet Bridge for Zero-Shot Sketch-Based Image Retrieval
Marginal Likelihood Based Model Comparison in Fuzzy Bayesian Learning
Self-Learning Modeling in Possibilistic Model Checking
Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms
The Goldilocks Principle: Achieving Just Right Boundary Fidelity for Long-Tailed Classification
Self-Supervised Medical Adversarial Robustness With Two-Stage Contrastive Constraints
Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems
Novel Solution Approach for Multi-Objective Attack-Defense Cyber Games With Unknown Utilities of the Opponent
A Surrogate-Assisted Multi-Phase Ensemble Feature Selection Algorithm With Particle Swarm Optimization in Imbalanced Data
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures
Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification
A Novel Hypercomplex Graph Convolution Refining Mechanism
Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM
Asset Picking Based on a Markov Chain Modeling the Asset Performance
Probabilistic Boolean Operations in Spiking Neurons for Neuromorphic Systems
TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images
A Robust Real-Time Anchor-Free Traffic Sign Detector With One-Level Feature
Game-Theoretic Expert Importance Evaluation Model Guided by Cooperation Effects for Social Network Group Decision Making
Detecting Anxiety via Machine Learning Algorithms: A Literature Review
An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification
Corrections to "Joint Domain Adaptation Based on Adversarial Dynamic Parameter Learning"
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis
Evolutionary Multitasking Local Community Detection on Attributed Networks
Convolutional Fuzzy Neural Networks With Random Weights for Image Classification
Learning Class-Aligned and Generalized Domain-Invariant Representations for Speech Emotion Recognition
Some Generalized Integrals Applied in Scientometrics and Related Evaluation
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm
Attribute-Based Injection Transformer for Personalized Sentiment Analysis
An Effective Scoring-Based Metaheuristic Algorithm for Rectilinear Block Placement
Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach
Leveraging Pixel Difference Feature for Deepfake Detection
Generative Adversarial Registration Network for Multi-Contrast Liver MRI Registration and Added Value to Hepatocellular Carcinoma Segmentation: A Multicentre Study
A Novel Hierarchical Generative Model for Semi-Supervised Semantic Segmentation of Biomedical Images
A Novel Immune Algorithm for Multiparty Multiobjective Optimization
Learn to Adapt: A Policy for History-Based Online Adaptation
Motion Planning and Cooperative Manipulation for Mobile Robots With Dual Arms
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images
Using Feature Selection for Local Causal Structure Learning
Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization
Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems
Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem
An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning
Adaptative Scaler-Moment Crystal Graph Attention Neural Network for Material Property Prediction
Optimized Leader-Follower Consensus Control of Multi-QUAV Attitude System Using Reinforcement Learning and Backstepping
MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction
Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread
Multi-Relation Augmentation for Graph Neural Networks
Multi-Stage Salient Object Detection in 360° Omnidirectional Image Using Complementary Object-Level Semantic Information
A Survey on Facial Wrinkles Detection and Inpainting: Datasets, Methods, and Challenges
Learning From Pairwise Confidence Comparisons and Unlabeled Data
Static2Dynamic: Video Inference From a Deep Glimpse
Field Support Vector Machines