PPT-Speed-accuracy Trade-off in

Dwellbased Eye Pointing Tasks at Different Cognitive Levels Xinyong Zhang Pianpian Xu Qing Zhang and Hongbin Zha In   Proceedings of the 1st international workshop on pervasive eye tracking amp mobile eyebased . Choosing appropriate software. Options.. Create your own from scratch. . Create your own with key bits from well-developed, professionally written libraries (e.g. LINPACK).. Use or modify somebody else’s – in-house. . Pachella’s. Speed Accuracy . Tradeoff Figure. Key Issues. If accuracy builds up continuously with time as . Pachella. suggests, how do we ensure that the results we observe in different conditions don’t reflect changes in the speed-accuracy tradeoff?. Model Learning . DCAP Meeting. Madalina Fiterau. 22. nd. of February 2012. 1. Outline. Motivation: need for interpretable models. Overview of data analysis tools. Model evaluation – accuracy . Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. Choosing appropriate software. Options.. Create your own from scratch. . Create your own with key bits from well-developed, professionally written libraries (e.g. LINPACK).. Use or modify somebody else’s – in-house. . Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. Pachella’s. Speed Accuracy . Tradeoff Figure. Key Issues. If accuracy builds up continuously with time as . Pachella. suggests, how do we ensure that the results we observe in different conditions don’t reflect changes in the speed-accuracy tradeoff?. lidar . retrievals . of . near-shore winds. Nikola . Vasiljević. and Michael Courtney. WindEurope Resource Assessment Workshop 2017. Edinburgh, UK. What a lidar measures?. 2. What a lidar measures?. Ulya. . R. . Karpuzcu. ukarpuzc@umn.edu. . 12/01/2015. Outline. Background. Pitfalls & Fallacies. Practical Guidelines. 2. 12/01/2015. On Quantification of Accuracy Loss in Approximate Computing. Model Learning . DCAP Meeting. Madalina Fiterau. 22. nd. of February 2012. 1. Outline. Motivation: need for interpretable models. Overview of data analysis tools. Model evaluation – accuracy . Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. Session #35. Dr. . Qassim . Abdullah, Woolpert, Inc.. Pierre Le Roux, Aerometric, Inc.. Becky Morton, . Towill. , Inc.. 1. New ASPRS . Positional Accuracy Standards for . Digital Geospatial . Data. Drafting Committee:. Model Learning . DCAP Meeting. Madalina Fiterau. 22. nd. of February 2012. 1. Outline. Motivation: need for interpretable models. Overview of data analysis tools. Model evaluation – accuracy . lidar . retrievals . of . near-shore winds. Nikola . Vasiljević. and Michael Courtney. WindEurope Resource Assessment Workshop 2017. Edinburgh, UK. What a lidar measures?. 2. What a lidar measures?.