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Automatic annotation of protein function

Current Opinion in Structural Biology, 2005
The annotation of protein function at genomic scale is essential for day-to-day work in biology and for any systematic approach to the modeling of biological systems. Currently, functional annotation is essentially based on the expansion of the relatively small number of experimentally determined functions to large collections of proteins.
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Automatic Annotation of Geographic Maps

2006
In this paper, we describe an approach to generate semantic descriptions of entities in city maps so that they can be presented through accessible interfaces. The solution we present processes bitmap images containing city map excerpts. Regions of interest in these images are extracted automatically based on colour information and subsequently their ...
Mirko Horstmann   +3 more
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A framework for the automatic annotation of car aesthetics

Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2007
The design of a new car is guided by a set of directives indicating the target market, specific engineering, and aesthetic constraints, which may also include the preservation of the company brand identity or the restyling of products already on the market.
Chiara E Catalano   +3 more
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Semi-Automatic Semantic Annotation of Images

Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007
Detailed, consistent semantic annotation of large collections of multimedia data is difficult and time-consuming. In domains such as eScience, digital curation and industrial monitoring, finegrained high-quality labeling of regions enables advanced semantic querying, analysis and aggregation and supports collaborative research.
Suzanne Little   +2 more
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Towards Automatic and Fast Annotation of Seismocardiogram Signals Using Machine Learning

IEEE Sensors Journal, 2020
The automatic annotation of Seismocardiogram (SCG) potentially aid to estimate various cardiac health parameters continuously. However, the inter-subject variability of SCG poses great difficulties to automate its accurate annotation.
H. Thakkar, P. Sahoo
semanticscholar   +1 more source

Automatic Maintenance of Semantic Annotations

2017
Biomedical Knowledge Organization Systems (KOS) play a key role in enriching information in order to make them machine understandable. This is done through semantic annotation which consists in the association of concept labels taken from KOS with pieces of digital information taken from the source to annotate.
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Geo-based automatic image annotation

Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 2012
A huge number of user-tagged images are daily uploaded to the web. Recently, a growing number of those images are also geotagged. These provide new opportunities for solutions to automatically tag images so that efficient image management and retrieval can be achieved. In this paper an automatic image annotation approach is proposed.
Hatem Mousselly Sergieh   +5 more
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Automatic Annotation and Retrieval for Videos

2006
Retrieving videos by key words requires semantic knowledge of the videos. However, manual video annotation is very costly and time consuming. Most works reported in literatures focus on annotating a video shot with either only one semantic concept or a fixed number of words.
Fangshi Wang, De Xu, Wei Lu, Hongli Xu
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Automatic sound annotation

Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004., 2005
Sound engineers need to access vast collections of sound effects for their film and video productions. Sound effects providers rely on text-retrieval techniques to offer their collections. Currently, annotation of audio content is done manually, which is an arduous task.
P. Cano, M. Koppenberger
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Automatic annotation of tasks in structured code

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018
This paper describes the design and implementation of a suit of static analyses and code generation techniques to annotate programs with OpenMP pragmas for task parallelism. These techniques approximate the ranges covered by memory regions, bound recursive tasks and estimate the profitability of tasks.
Pedro Ramos   +4 more
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