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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

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Showing 451–475 of 524 papers

TitleStatusHype
Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks—0
Benchmarking Shadow Removal for Facial Landmark Detection and Beyond—0
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks—0
BioSpaun: A large-scale behaving brain model with complex neurons—0
Bi-Phasic Quasistatic Brain Communication for Fully Untethered Connected Brain Implants—0
BLCS: Brain-Like based Distributed Control Security in Cyber Physical Systems—0
Block and Detail: Scaffolding Sketch-to-Image Generation—0
Block based Adaptive Compressive Sensing with Sampling Rate Control—0
Block-Based Multi-Scale Image Rescaling—0
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks—0
Blocking and Other Enhancements for Bottom-Up Model Generation Methods—0
Blocking Bandits—0
Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models—0
Blocking Probability in Obstructed Tunnels with Reconfigurable Intelligent Surface—0
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems—0
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching—0
Blue-blocking spectacles lenses for retinal damage protection and circadian rhythm: evaluation parameters—0
Boosting Gradient for White-Box Adversarial Attacks—0
Boosting Image Recognition with Non-differentiable Constraints—0
Broadband measurements and analysis of human blocking in a 60 GHz indoor radio channel—0
BullStop: A Mobile App for Cyberbullying Prevention—0
Calibrating Sequence likelihood Improves Conditional Language Generation—0
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression—0
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment—0
Capturing the security expert knowledge in feature selection for web application attack detection—0
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