Satellite Image Cloud Automatic Annotator with Uncertainty Estimation
In satellite imagery, clouds obstruct the ground information, directly impacting various downstream applications. Thus, cloud annotation/cloud detection serves as the initial preprocessing step in remote sensing image analysis.
Yijiang Gao +4 more
doaj +1 more source
Automatic annotation of French medical narratives with SNOMED CT concepts
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused.
Foufi, Vasiliki +3 more
core +1 more source
SPPAS - the automatic annotation and analysis of speech (version 4.7)
SPPAS is a robust and reliable software for the automatic annotation, for the analyses of annotated-data and to convert annotated files.As the primary functionality, SPPAS proposes a set of automatic or semi-automatic annotations of recordings: Momel:
Bigi, Brigitte
core
Bayesian parameter estimation for automatic annotation of gene functions using observational data and phylogenetic trees. [PDF]
Vega Yon GG +5 more
europepmc +1 more source
Automatic Annotation of Images from the Practitioner Perspective
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval.
Lewis, Paul +6 more
core +1 more source
Automatic annotation of context and speech acts for dialogue corpora
Richly annotated dialogue corpora are essential for new research directions in statistical learning approaches to dialogue management, context-sensitive interpretation, and context-sensitive speech recognition.
HENDERSON, JAMES +3 more
core
Automatic Annotation of Subsea Pipelines using Deep Learning. [PDF]
Stamoulakatos A +13 more
europepmc +1 more source
Automatic annotation of organellar genomes with DOGMA
Stacia K. Wyman +2 more
semanticscholar +1 more source
Automatic annotation of court games with structured output learning
We investigate the application of structured output learning (SOL) in automatic annotation of court games. We formulate the problem of event classification in court games as one of learning a mapping from features to structured labels, and employ ...
Mikolajczyk, K. +3 more
core
Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and Bottom-up approaches
Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that ...
Sinclair, Patrick A. S. +5 more
core

