yusuke1997/dblp-id-title huggingface dataset:
Effective Image Segmentation with Flexible ICM-Based Markov Random Fields in Distributed Systems of Personal Computers
Motion from Fixation
Real-time Visualization of Brain Electrical Activity
A Real-Time Image Noise Reduction System for FLIR Applications
An Integrated Framework for Efficient Transport of Real-Time MPEG Video over ATM Best Effort Service
Real-Time Multimedia Synchronization based on Delay Offset and Playout Rate Adjustment
A Novel Approach to Lossy Real-Time Image Compression: Hierarchical Data Reorganization on a Low-Cost Massively Parallel System
Image Reconstruction From Projections
Low-complexity progressive image transmission scheme based on quadtree segmentation
A Band Processing Imaging Library for a TriCore-Based Digital Still Camera
High performance 2D parallel block-filtering system for real-time imaging applications using the Sharc ADSP21060
Efficient Implementation of Image Warping on a Multimedia Processor
Facial Motion Analysis for Content-based Video Coding
Adaptation of MPEG Video in ATM Networks Using Forward Loss/Error Recovery (FLER) Scheme
Active Rays: Polar-transformed Active Contours for Real-Time Contour Tracking
A Real-Time Implementation of Nonlinear Unsharp Masking with FPLDs
Video Summarization Using R-Sequences
Enhanced multiscale skeletons
Real-time Motion Stereo on SFU Pyramid
Real Time Image Rotation Using Dynamic Reconfiguration
The Pipe-group Architecture for Real-Time Active Vision
Multi-resolution Layered Coding for Real-Time Image Transmission: Architectural and Error Control Considerations
Three-dimensional Polychromatic Objects Classification Based on Amplitude Modulation and Amplitude-shift Keying
A New Motion Estimation Algorithm for Video Coding Using Adaptive Kalman Filter
Joint Source/Channel Coding to Maximize Perceptual Video Quality on Packet Networks
Mesh of Linear Arrays for Template Matching
Design of an Architecture for Real-Time 3D PET Imaging
Fast Fully Data-Driven Image Restoration by means of Edge-Preserving Regularization
The High-Speed Tracking of Flexible Confectionery Packets using the Hough Transform
Efficient Selective Frame Discard Algorithms for Stored Video Delivery Across Resource Constrained Networks
A scalable video codec for layered video streaming
A fast automatic VOP generation using boundary block segmentation
Least-squares smoothing of 3D digital curves
Calibrating spectral images using penalized likelihood
Tracking and Synthesizing Facial Motions with Dynamic Contours
Monitoring mineral wool production using real-time machine vision
Contribution to Image and Contours Restoration
Accurate and Real-time Image Processing on a New PC-compatible Board
Design considerations in the real-time implementation of multiple expert image classifiers within a modular and flexible multiple-platform design environment
Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition
A Pragmatic Introduction to Machine Vision, by R. Jain, R. Kasturi and B. G. Schunck
Guest Editorial: Video Processing and Communications in Real-Time Surveillance Systems
Real-time lossless compression of mosaic video sequences
A New ASIC for Real-Time Linear Color Space Transforms
Video and Image Processing in Multimedia Systems Special Issue
Real-time acquisition of depth and color images using structured light and its application to 3D face recognition
Real-time image processing with a compact FPGA-based systolic architecture
A neighborhood evaluated adaptive vector filter for suppression of impulse noise in color images
A One-Dimensional Analog VLSI Implementation for Nonlinear Real-Time Signal Preprocessing
Geometrical Shape Recognition Using a Cellular Automaton Architecture and its VLSI Implementation
Fast adaptive similarity based impulsive noise reduction filter
Spectral imaging for real-time imaging applications
High-speed Tomographic Reconstruction Employing Fourier Methods
Guest Editorial: Special Issue on Real-Time Defect Detection
Progressive Image Transmission in Telemicroscopy: A Quantitative Approach for Electron Microscopy Images of Biological Specimens
A novel DCT domain transcoder for transcoding video streams with half-pixel motion vectors
Fourier Analysis and Cortical Architectures: The Exponential Chirp Transform
An Efficient FFT Algorithm for Superscalar and VLIW Processor Architectures
Real-time automated visual inspection system for contaminant removal from wool
Robust moving object segmentation on H.264/AVC compressed video using the block-based MRF model
Performance of three recursive algorithms for fast space-variant Gaussian filtering
Architectural Study of a Block-Recursive Motion Estimation Algorithm
A Pyramid Approach to Motion Tracking
Model-driven active visual tracking
A modular and scalable architecture for PC-based real-time vision systems
Real-Time Quantized Optical Flow
Real-Time Considerations in the Design of the Image Understanding Architecture
Removal of Grid-Pattern Noise Introduced by M -Channel Subband Image Coding
Real-Time Vision-based Detection of Waiting Pedestrians
Real-time Registration of Paper Watermarks
A Retrospective on Real-Time Imaging, a New Taxonomy and a Roadmap for the Future
Erratum to the "Special Issue on Video Object Processing"
3D Face Modeling from Perspective-Views and Contour-Based Generic-Model
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
Online Scalable Streaming Feature Selection via Dynamic Decision
Similarity Embedding Networks for Robust Human Activity Recognition
Con&Net: A Cross-Network Anchor Link Discovery Method Based on Embedding Representation
Hidden Inverted Specific-Class Distance Measure for Nominal Attributes
Twain: Two-end association miner with precise frequent exhibition periods
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective
App2Vec: Context-Aware Application Usage Prediction
ASCOS++: An Asymmetric Similarity Measure for Weighted Networks to Address the Problem of SimRank
Multi-Source and Multi-modal Deep Network Embedding for Cross-Network Node Classification
Enhanced Data Mining Technique to Measure Satisfaction Degree of Social Media Users of Xeljanz Drug
Efficient algorithms for large-scale local triangle counting
Summarizing User-item Matrix By Group Utility Maximization
Visual Analysis of Brain Networks Using Sparse Regression Models
Probabilistic Topic Modeling for Comparative Analysis of Document Collections
Discovering social circles in ego networks
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection
SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks
Dual-Embedding based Deep Latent Factor Models for Recommendation
Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach
A Novel Neural Ensemble Architecture for On-the-fly Classification of Evolving Text Streams
Defending Federated Recommender Systems against Untargeted Attacks: A Contribution-Aware Robust Aggregation Scheme
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning
Unsupervised Graph-Based Entity Resolution for Complex Entities
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction
In Search of a Stochastic Model for the E-News Reader
Tensor Completion Algorithms in Big Data Analytics
Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking
Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog
A Survey on Deep Hashing Methods
Fairness of Information Flow in Social Networks
Uncovering social network Sybils in the wild
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information
Time Series Classification with Elasticity Using Augmented Path Signatures
Adaptive Model Scheduling for Resource-efficient Data Labeling
Refining Social Graph Connectivity via Shortcut Edge Addition
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting
Mobile User Traffic Generation Via Multi-Scale Hierarchical GAN
Generating Realistic Synthetic Population Datasets
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model
Systematic Review of Clustering High-Dimensional and Large Datasets
Time-Sync Video Tag Extraction Using Semantic Association Graph
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model
TaSPM: Targeted Sequential Pattern Mining
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning
Segment-Wise Time-Varying Dynamic Bayesian Network with Graph Regularization
Clustering Categorical Data via Multiple Hypothesis Testing
User Identification Across Social Media
Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models
Learning to Infer Competitive Relationships in Heterogeneous Networks
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning
Spatio-Temporal Parallel Transformer Based Model for Traffic Prediction
GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs
Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning
Feature-preserved sampling over streaming data
Dual-Side Adversarial Learning Based Fair Recommendation for Sensitive Attribute Filtering
Fair Federated Learning with Multi-Objective Hyperparameter Optimization
Assessing the Spatial-Temporal Causal Impact of COVID-19-Related Policies on Epidemic Spread
Community Discovery via Metagraph Factorization
Spatio-Temporal Routine Mining on Mobile Phone Data
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics
Learning correlations using the mixture-of-subsets model
Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation
Graph Community Infomax
Hybrid Crowd-Machine Wrapper Inference
Online Learning Bipartite Matching with Non-stationary Distributions
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1)
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks
Deep Graph Matching and Searching for Semantic Code Retrieval
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models
Sequential and Graphical Cross-Domain Recommendations with a Multi-View Hierarchical Transfer Gate
Learning bayesian networks from Markov random fields: An efficient algorithm for linear models
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search
A Taxonomy for Learning with Perturbation and Algorithms
Efficient algorithms for genome-wide association study
Feature Selection for Social Media Data
Efficient Discovery of the Most Interesting Associations
CSNL: A cost-sensitive non-linear decision tree algorithm
Greedily Improving Our Own Closeness Centrality in a Network
Margin-aware Noise-robust Contrastive Learning for Partially View-aligned Problem
Rumor Gauge: Predicting the Veracity of Rumors on Twitter
Self-Adaptive Skeleton Approaches to Detect Self-Organized Coalitions From Brain Functional Networks Through Probabilistic Mixture Models
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks
Online Learning for Noisy Labeled Streams
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning
A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples
SCOAL: A framework for simultaneous co-clustering and learning from complex data
Faster Motif Counting via Succinct Color Coding and Adaptive Sampling
Modeling Regime Shifts in Multiple Time Series
Efficient Mining of Gap-Constrained Subsequences and Its Various Applications
Mathematical Modeling and Analysis of Product Rating with Partial Information
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation
Graph Time-series Modeling in Deep Learning: A Survey
A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance
Swarm Self-supervised Hypergraph Embedding for Recommendation
Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation
Interactive Recommendation with User-Specific Deep Reinforcement Learning
Compositional mining of multirelational biological datasets
Fully Dynamic Approximate k-Core Decomposition in Hypergraphs
Balance-Subsampled Stable Prediction Across Unknown Test Data
Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
Meta-Information Fusion of Hierarchical Semantics Dependency and Graph Structure for Structured Text Classification
Efficient Distributed Sparse Relative Similarity Learning
Editorial: TKDD Special Issue on Interactive Data Exploration and Analytics
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining
Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection
Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction
Stream data clustering based on grid density and attraction
Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective
Biomedical Ontology Quality Assurance Using a Big Data Approach
Rationality Analytics from Trajectories
Sparse Graph Connectivity for Image Segmentation
Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy
A Framework of Mining Trajectories from Untrustworthy Data in Cyber-Physical System
Interpretable Embedding and Visualization of Compressed Data
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition
ciForager: Incrementally discovering regions of correlated change in evolving graphs
ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets
Probabilistic Mixture Model for Mapping the Underground Pipes
Towards Recommendation on Good Quality Data Science Solutions
Feature Selection as Deep Sequential Generative Learning
TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization
CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks
Utility-Theoretic Ranking for Semiautomated Text Classification
Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems
Discovering Mobile Application Usage Patterns from a Large-Scale Dataset
A Trajectory Evaluator by Sub-tracks for Detecting VOT-based Anomalous Trajectory
Subspace-Contrastive Multi-View Clustering
An Efficient and Adaptive Content Delivery System Based on Hybrid Network
SPORT: A Subgraph Perspective on Graph Classification with Label Noise
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream
Multi-Stage Network Embedding for Exploring Heterogeneous Edges
Spatial Prediction for Multivariate Non-Gaussian Data
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Robust Record Linkage Blocking Using Suffix Arrays and Bloom Filters
Text Mining for Evaluating Authors' Birth and Death Years
Chameleon 2: An Improved Graph-Based Clustering Algorithm
Be Causal: De-Biasing Social Network Confounding in Recommendation
Partitioning Networks with Node Attributes by Compressing Information Flow
On Breaking Truss-based and Core-based Communities
Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams
A Session-Based Approach to Fast-But-Approximate Interactive Data Cube Exploration
Contrastive Learning Based Graph Convolution Network for Social Recommendation
Closed patterns meet n -ary relations
Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data
A Layout-Based Classification Method for Visualizing Time-Varying Graphs
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization
Mixed Information Flow for Cross-Domain Sequential Recommendations
Modeling Temporal Activity to Detect Anomalous Behavior in Social Media
Graph Mining for Cybersecurity: A Survey
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs
Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations
Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks
ACM TKDD special issue ACM SIGKDD 2007 and ACM SIGKDD 2008
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation
Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning
Local Overlapping Community Detection
A Self-Supervised Representation Learning of Sentence Structure for Authorship Attribution
Fast and Robust Dictionary-based Classification for Image Data
Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income
FairGAT: Fairness-Aware Graph Attention Networks
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
PSP-AMS: Progressive Mining of Sequential Patterns Across Multiple Streams
Forecasting the Market with Machine Learning Algorithms: An Application of NMC-BERT-LSTM-DQN-X Algorithm in Quantitative Trading
NeuralCODE: Neural Compartmental Ordinary Differential Equations Model with AutoML for Interpretable Epidemic Forecasting
Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure
ProtoMGAE: Prototype-Aware Masked Graph Auto-Encoder for Graph Representation Learning
Road Network Representation Learning: A Dual Graph-based Approach
Convergence-Guaranteed Federated Learning through Gradient Trajectory Smoothing with Triple-Objective Decomposition
ATR-Vis: Visual and Interactive Information Retrieval for Parliamentary Discussions in Twitter
Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices
Pattern-Based Graph Classification: Comparison of Quality Measures and Importance of Preprocessing
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game
Community Detection in Partially Observable Social Networks
An Approach For Concept Drift Detection in a Graph Stream Using Discriminative Subgraphs
Noise Corrected Sampling of Online Social Networks
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
A Survey on AutoML Methods and Systems for Clustering
Continuous Influence Maximization
Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs
Blocking links to minimize contamination spread in a social network
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning
Utility-Oriented Reranking with Counterfactual Context
Comparative Document Summarization via Discriminative Sentence Selection
Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning
Fuzzy Neural Logic Reasoning for Robust Classification
A Survey on Knowledge Graph Related Research in Smart City Domain
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection
Online and Distributed Robust Regressions with Extremely Noisy Labels
Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks
Mixed Graph Contrastive Network for Semi-supervised Node Classification
Framework for Inferring Following Strategies from Time Series of Movement Data
Fast Sampling for Time-Varying Determinantal Point Processes
Introduction to the Special Issue on the Best Papers from KDD 2018
Topic taxonomy adaptation for group profiling
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation
ClassiNet - Predicting Missing Features for Short-Text Classification
sGrapp: Butterfly Approximation in Streaming Graphs
Mining Influencers Using Information Flows in Social Streams
New Automated Approach to Selection of Mapper Clustering Parameters
Similarity Metrics: Chebyshev Coulomb Force and Resultant Force for High-Dimensional Data
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
Probabilistic Feature Selection and Classification Vector Machine
Adaptive discriminant analysis for microarray-based classification
Mining frequent cross-graph quasi-cliques
Leakage in data mining: Formulation, detection, and avoidance
Crowdsourcing Truth Inference Based on Label Confidence Clustering
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks
Robust Drift Characterization from Event Streams of Business Processes
The Gene of Scientific Success
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting
Elastic Embedding through Graph Convolution-based Regression for Semi-supervised Classification
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction
DeltaShield: Information Theory for Human- Trafficking Detection
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
Motif Counting Beyond Five Nodes
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection
Temporal Link Prediction Using Matrix and Tensor Factorizations
Adaptive Local Linear Discriminant Analysis
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction
Exploiting Temporal Dynamics in Product Reviews for Dynamic Sentiment Prediction at the Aspect Level
A Bayesian Perspective on Locality Sensitive Hashing with Extensions for Kernel Methods
Process Discovery under Precedence Constraints
Effective and Scalable Manifold Ranking-Based Image Retrieval with Output Bound
SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations
AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments
Hierarchical Concept-Driven Language Model
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach
Mining Overlapping Communities and Inner Role Assignments through Bayesian Mixed-Membership Models of Networks with Context-Dependent Interactions
Profit Maximization with Sufficient Customer Satisfactions
Density Guarantee on Finding Multiple Subgraphs and Subtensors