The Visual Computing Group, led by Hanspeter Pfister, explores and provides visual analysis tools and methods to help scientists and researchers better process and understand large, multi-dimensional data sets in various domains such as neuroscience, genomics, systems biology, astronomy, and medicine.
Projects
Latest Publications
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Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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FDive: Learning Relevance Models using Pattern-based Similarity Measures
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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Guiro: User-Guided Matrix Reordering
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets
— To appear in IEEE Transactions on Visualization and Computer Graphics.
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SAX Navigator: Time Series Exploration through Hierarchical Clustering
— 2019 IEEE Visualization Conference, Short Papers.
News
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Harvard VCG
@HarvardVCGWe have a fantastic @HarvardVCG alumni & group dinner for this year's IEEE VIS. Big shout-out to @hpfister and ever… -
Harvard VCG
@HarvardVCGRT @ieeevis: Scalable Insets (https://t.co/T63wUYOZFp) is a new technique for visually exploring many but sparsely-distributed patterns in… -
Harvard VCG
@HarvardVCGRT @flekschas: I am on my way to the #ieeevis doctorial colloquium and looking forward to meet lots of great people and to hear about many… -
Harvard VCG
@HarvardVCGRT @flekschas: Thanks a lot for stopping by and your shoutout! 😊 For anyone who missed my talk, I uploaded my #ieeevis slides at -
Harvard VCG
@HarvardVCGRT @sgeoviz: A full room upstairs for #ieeevis short papers. @yalong_yang presenting @monashimmersive user study exploring interaction in h…