2009 eScience: The Vedea Visualization Language

Channel:
Microsoft Research
Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=pnH4S5dso8M


Duration: 30:33
171 views
1

< no description available >



Other Videos By Microsoft Research


2016-09-07Navigating across multi-scale biological systems using cognitive modeling and systems approaches
2016-09-072009 eScience: Low Power Amdahl Blades for Data Intensive Computing
2016-09-072009 eScience: Bayesian Network Modelling of the Factors Influencing the Development of Obesity
2016-09-072009 eScience: Using Multipartite Graphs for Recommendation and Discovery
2016-09-07Hadoop Architecture and its usage at Facebook
2016-09-072009 eScience: Performing Science in the Cloud: A Haplotype Phasing Case Study
2016-09-072009 eScience: Generalized eScience Collaboration through Sharepoint
2016-09-072009 eScience: Collaborative Data Analysis with Taverna Workflows
2016-09-072009 eScience: Understanding and Maturing the Data-Intensive Scalable Computing Storage Substrate
2016-09-072009 eScience: Integrating Streaming Data and Semantic Repositories
2016-09-072009 eScience: The Vedea Visualization Language
2016-09-07Growth and Phase Transitions in Isolated and Interacting Networks
2016-09-07Woodland Park brings the Zoo to you! - Giving Campaign Presentation
2016-09-072009 eScience: Provenir ontology: Towards a Framework for eScience Provenance Management
2016-09-072009 eScience: Facilitating Next Generation Data Intensive Science using Semantic Technologies
2016-09-07Replica Symmetry and Combinatorial Optimization
2016-09-072009 eScience: Web Service Extension of Computational Biology Application Suite
2016-09-073D Geographical Environments & Geospatial Data Exploration using Flight Simulators and Geodatabases
2016-09-072009 eScience: Towards complete functional and structural imaging of cortical circuits
2016-09-072009 eScience: Data Intensive Scalable Computing: Applying Google-Style Computing to eScience
2016-09-072009 eScience: Tools and Techniques for Computational Biology


Tags:
microsoft research