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Found 5 papers, 2 papers with code
Theoretical Analysis for Expectation-Maximization-Based Multi-Model 3D Registration
We perform detailed theoretical analysis of an expectation-maximization-based algorithm recently proposed in for solving a variation of the 3D registration problem, named multi-model 3D registration.
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds
We investigate a variation of the 3D registration problem, named multi-model 3D registration.
Collaborative Distributed Machine Learning
Various collaborative distributed machine learning (CDML) systems, including federated learning systems and swarm learning systems, with different key traits were developed to leverage resources for development and use of machine learning (ML) models in a confidentiality-preserving way.
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
Common document ranking pipelines in search systems are cascade systems that involve multiple ranking layers to integrate different information step-by-step.
Physics-Informed Neural Operator for Learning Partial Differential Equations
Specifically, in PINO, we combine coarse-resolution training data with PDE constraints imposed at a higher resolution.
