Amanote Research

Amanote Research

    RegisterSign In

Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence - United States
doi 10.1109/34.825754
Full Text
Open PDF
Abstract

Available in full text

Categories
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
Date

January 1, 2000

Authors
A.L. YuilleJ.M. Coughlan
Publisher

Institute of Electrical and Electronics Engineers (IEEE)


Related search

Online Bayesian Inference for the Parameters of PRISM Programs

Machine Learning
Artificial IntelligenceSoftware
2012English

Second Order Phase Transitions

English

Second Order Phase Transitions

2002English

Holographic Phase Transitions With Fundamental Matter

Physical Review Letters
AstronomyPhysics
2006English

Genetic Parameters for Five Traits in Africanized Honeybees Using Bayesian Inference

Genetics and Molecular Biology
GeneticsMolecular Biology
2013English

Towards Human Motion Tracking: Multi-Sensory IMU/TOA Fusion Method and Fundamental Limits

Electronics (Switzerland)
ControlElectronic EngineeringSignal ProcessingComputer NetworksSystems EngineeringHardwareCommunicationsElectricalArchitecture
2019English

Objective Bayesian Inference for Stress-Strength Models and Bayesian ANOVA

English

Measurement of Road Traffic Parameters Based on Multi-Vehicle Tracking

2015English

High-Order Coupled Cluster Results for Quantum Antiferromagnets and Their Phase Transitions

2000English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy