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VIS15 preview: MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data
⏲ 31 sec ✓ 13-Aug-2015
[VIS19 Preview] The What-If Tool: Interactive Probing of Machine Learning Models (vast paper)
⏲ 30 sec ✓ 16-Sep-2019
Hashedcubes: Simple, Low Memory, Real-Time Visual Exploration of Big Data
⏲ 4 min 10 sec ✓ 31-Mar-2016
Particles Intersections
⏲ 93 sec ✓ 03-Aug-2021
Hemodynamic Subsets in Acute Decompensated Heart Failure
⏲ 4 min 45 sec ✓ 26-Jun-2014
VIS15 preview: CAST: Effective and Efficient User Interaction for Context-Aware Selection in 3D Particle Clouds
⏲ 30 sec ✓ 13-Aug-2015
TD Workflow - Best Practices
⏲ 3 min 89 sec ✓ 19-Jul-2019
NetPoint 5-3 - P6 Import Filtering Feature
⏲ 78 sec ✓ 30-May-2018
MS Research - Charcot Fund 2021 : Prof. Sofie Struyf, Prof. Niels Hellins and Mirre Bondt
⏲ 1 min 60 sec ✓ 24-Jan-2021
Subterranean Rap - Lynn O'Brien [Sub Sets]
⏲ 2 min 22 sec ✓ 17-Oct-2012
TV as a Platform: Quality Scale
⏲ 2 min 15 sec ✓ 26-Apr-2018
Jacoby Thwaites - A prototype state machine “MadCloud” for distributed applications
⏲ 15 min 85 sec ✓ 14-Dec-2010
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![[VAST paper] nnAuthors: Sujin Jang, Niklas Elmqvist, Karthik RamaninnAbstract: Pattern analysis of human motions, which is useful in many research areas, requires understanding and comparison of different styles of motion patterns. However, working with human motion tracking data to support such analysis poses great challenges. In this paper, we propose MotionFlow, a visual analytics system that provides an effective overview of various motion patterns based on an interactive flow visualization.](https://cdn3.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol81ZmN_ZGtjZmZgBGNjBGL3MwIvMGx3AQSuAJMwMJRlBTL3MGH0ATZ-LmIzMTVmAQxjBQL1MzWwZwNkMwMwMQEvMGR0MzR_L_AwMF1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysAGZjAwR-ZQZmYGxjZQx_A_L1LzH5AmDkLGIzL_IuZwuzA_H1AQEwBTZ1MzEvZmD5ZQt_AJMvLmVjZJL_L_D0LzHkATMuAzAwL_HgMP0lZQO-ZGHj/(HiFiMov.co)_vis15-preview-motionflow-visual-abstraction-and-aggregation-of-sequential-patterns-in-human-motion-tracking-data.webp "[VAST paper] nnAuthors: Sujin Jang, Niklas Elmqvist, Karthik RamaninnAbstract: Pattern analysis of human motions, which is useful in many research areas, requires understanding and comparison of different styles of motion patterns. However, working with human motion tracking data to support such analysis poses great challenges. In this paper, we propose MotionFlow, a visual analytics system that provides an effective overview of various motion patterns based on an interactive flow visualization."){kind=tracking}
_vis19-preview-the-what-if-tool-interactive-probing-of-machine-learning-models-vast-paper.webp "Authors: James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda Viegas, Jimbo WilsonnnAbstract: A key challenge in developing and deploying Machine Learning (ML) systems is understanding their performance across a wide range of inputs. To address this challenge, we created the What-If Tool, an open-source application that allows practitioners to probe, visualize, and analyze ML systems, with minimal coding. The What-If Tool lets practitioners test performance in hypothetica")
_hashedcubes-simple-low-memory-real-time-visual-exploration-of-big-data.webp "Hashedcubes is formulated on the simple idea that a combination of progressive partitioning and sorting, along with a compact representation of data subsets, allows to create a data structure that efficiently stores and query spatiotemporal datasets.nnThe underlying concept behind Hashedcubes makes it natural to create links between the data structure and original records, thus encouraging to complement the visual queries with additional information stored in an external database.")
_particles-intersections.webp "Some time ago I had an idea about dealing with multiple interactions of particles with different radii. How to solve the radii intersection between nearby particles? How to share information in order not to have volume losses in the system? Which particle should gain volume, and which should lose it?nnI came up with this algorithm. Every particle will always look up to the biggest neighbor. Through this process, every set of connected particles will be divided accordingly by subsets of particles")
_hemodynamic-subsets-in-acute-decompensated-heart-failure.webp "This video reviews the classification of patients with acute decompensated heart failure into hemodynamic subsets based on clinical presentation.")
![[SciVis paper] nnAuthors: Lingyun Yu, Konstantinos Efstathiou, Petra Isenberg, Tobias IsenbergnnAbstract: We present a family of three interactive Context-Aware Selection Techniques (CAST) for the analysis of large 3D particle datasets. For these datasets, spatial selection is an essential prerequisite to many other analysis tasks. Traditionally, such interactive target selection has been particularly challenging when the data subsets of interest were implicitly defined in the form of complicate](https://cdn4.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol81ZmN_ZwD0ZwNgAmMwZQMyMzEvMQEzLJV1BJAuMwt0MJSvLwZ5Lwt-LwN-BQtlZmZ1L_SzZTExA_HkMTIvZQL3AwR1AzDkLwuuMF1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysAGZjAwV0AQVjYGp_LmN_MJMxLzD0MzSvAGywLJL-ATIuLzVmBJV-BTVjBQt-ZwZmAJAuMwOxMQqyZJEyLwN_AmLkAGMxZJV-LJHgMP0lZQO-ZGHj/(HiFiMov.co)_vis15-preview-cast-effective-and-efficient-user-interaction-for-context-aware-selection-in-3d-particle-clouds.webp "[SciVis paper] nnAuthors: Lingyun Yu, Konstantinos Efstathiou, Petra Isenberg, Tobias IsenbergnnAbstract: We present a family of three interactive Context-Aware Selection Techniques (CAST) for the analysis of large 3D particle datasets. For these datasets, spatial selection is an essential prerequisite to many other analysis tasks. Traditionally, such interactive target selection has been particularly challenging when the data subsets of interest were implicitly defined in the form of complicate")
_td-workflow-best-practices.webp "This video covers some best practices for managing your data with Treasure Data Workflows. Specifically we talk about Intermediate data tables to save you time and money, sequential processing to process time bound subsets of data, error handling via email notifications, and grabbing the last row from a dataset and passing it on to the next task to process to validate your data (like an assert if true statement).")
_netpoint-5-3-p6-import-filtering-feature.webp "Import only what you need for better performance. Search and import subsets of XER files for performing what-if analyses or reporting by phase in NetPoint 5.3.")
_ms-research-charcot-fund-2021-prof-sofie-struyf-prof-niels-hellins-and-mirre-bondt.webp "Neutrophils have been identified in several autoimmune diseases to be part of the changed immune landscape. Recent evidence also points toward a possible involvement of neutrophils in the pathology of MS. We will phenotypically characterize neutrophils from MS patients and identify disease-associated neutrophilic pathways and cellular subsets. We will uncover the impact of current MS treatments on neutrophil phenotype and function. Top ranked genes identified will subsequently be studied in vivo")
_subterranean-rap-lynn-o39brien-sub-sets.webp "Lynn blew the basement away by hopping generes to open her solo set with a rap dedicated to the Subterranean Cafe.nnShot on 10/12/12 at the Subterranean Cafe, Minneapolis, MN.nnMusic:nLynn O'BriennAndy Hartinnhttp://lynnobrienmusic.com/nnVideo:nDavin Haukebo-Bol")
_tv-as-a-platform-quality-scale.webp "We recently shared the first in a video series filmed at the FreeWheel Council for Premium Video’s Executive Board dinner last month. Decision-makers from ABC, Comcast, ESPN, NBC Universal and others discussed the key issues impacting the television industry as we head into the 2018 Upfronts season, and how TV is now acting like a unified platform to drive results. It shouldn’t be surprising that the conversation naturally turned to two of premium video’s most compelling attributes for adv")
_jacoby-thwaites-a-prototype-state-machine-madcloud-for-distributed-applications.webp "Distributed applications often use client-server techniques across a TCP/IP infrastructure. This talk presents a prototype infrastructure that abstracts the client out of programmers' code and can optimize inter-server traffic across datacenters. It is written in Erlang with an admin UI that is quite pretty because HTML5+CSS3+XSLT+JQuery rocks actually.n nWhatever. The infrastructure is very simple, and works by sequencing calls on application-level servers following some initial event. It does")
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