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Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning

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Semantic Labeling of 3D Point Clouds for Indoor Scenes

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Approaching the Symbol Grounding Problem with Probabilistic Graphical Models

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引用数: 147 • 2011

Gen: a general-purpose probabilistic programming system with programmable inference

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Learning task constraints for robot grasping using graphical models

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Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks

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引用数: 103 • 2018

The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping

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引用数: 97 • 2010

Autonomously constructing hierarchical task networks for planning and human-robot collaboration

Bradley Hayes, Brian Scassellati

引用数: 95 • 2016

Multi-GAT: A Graphical Attention-Based Hierarchical Multimodal Representation Learning Approach for Human Activity Recognition

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引用数: 90 • 2021

Task-Based Robot Grasp Planning Using Probabilistic Inference

Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragić

引用数: 78 • 2015

Towards lifelong feature-based mapping in semi-static environments

David M. Rosen, Julian Mason, John J. Leonard

引用数: 74 • 2016

Introduction to Probabilistic Graphical Models

Franz Pernkopf, Robert Peharz, Sebastian Tschiatschek

引用数: 68 • 2014

Probabilistic Radio-Frequency Fingerprinting and Localization on the Run

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引用数: 67 • 2014

Reliable Graphs for SLAM

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Contextually Guided Semantic Labeling and Search for 3D Point Clouds

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A hybrid approach to dialogue management based on probabilistic rules

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