Collaboration in Computer Vision Using Scientific Workflows
| Autor: | Ricky J. Sethi, Kabir Chug |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry 010401 analytical chemistry 02 engineering and technology Distributed collaboration Semantics 01 natural sciences Data science Replication (computing) 0104 chemical sciences Workflow 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm design Computer vision Artificial intelligence business |
| Zdroj: | CTS |
| DOI: | 10.1109/cts.2016.0104 |
| Popis: | Collaboration, extension, and reproduction of research is of great importance in computer vision. Scientific workflows offer a unique framework for distributed collaboration and sharing of experiments. They provide a structured, end-to-end analysis methodology that easily and automatically allows for standardized replication and testing of models, inter-operability of heterogeneous codebases, and incorporation of novel algorithms. In this paper, we introduce the use of scientific workflows in computer vision to aid collaboration. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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