Search Results for "level set"

Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. ...

...On the top of the A.A.A.R. solution, the A.A.A.R. Analytics is a set of powerful tools to analyze data in an interactive and customizable way with a user console composed by dashboards, reports and free analysis.

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...This enables resource utilisation to be determined allowing capacity and hence forward planning. The heart of the system aims at simplifying the initial request by asking a set of straight forward business questions, in order for those making strategic decisions to have all the relevant information in a single view and to keep the request at the relevant stakeholder level so as not to waste time of other resources that already have pre-agreed / scheduled work. Buying in to the Project Tools philosophy empowers proactive work delivery, on time!

LiverSegm has been developed with the processing of liver images in mind. This software implements a level set based variational approach that incorporates shape priors and appearance models. It uses ITK Snap as interface.