Work

Parameter Learning and Convergent Inference for Dense Random Fields

Year: 2013

Type: conference-paper

Source: International Conference on Machine Learning

Authors: Philipp Kraehenbuehl, Vladlen Koltun

Institution: Stanford University

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W27675589

FWCI: 11.25

Cites: 25

Cited by: 172

Related to: 10