The goal of this conference is to bring together mathematicians from a range of fields, and practitioners from the digital arts (animation, 3D printing, laser cutting, CNC routing, virtual reality, computer games, etc). The attendees will share their expertise in mathematics and with the procedural tools used to illustrate mathematics. In addition to talks in the traditional style, we plan to hold several workshops to train attendees about a variety of digital media, in particular 3D printing.
With the Experience API we are able to collect more granular, high-resolution data from our learning tools and platforms. But once we have that data, how do we present it in ways that easily communicate the right insights to our stakeholders?
In this post I will demonstrate SimpleITK, an abstraction layer over the ITK library, to segment/label the white and gray matter from an MRI dataset. I will start with an intro on what SimpleITK is, what it can do, and how to install it. The tutorial will include loading a DICOM file-series, image smoothing/denoising, region-growing…
3Blue1Brown, by Grant Sanderson, is some combination of math and entertainment, depending on your disposition. The goal is for explanations to be driven by a...
Exponential sums are a specialized area of math that studies series with terms that are complex exponentials. Estimating such sums is delicate work. General
Colaboratory is a research project created to help disseminate machine learning education and research. It’s a Jupyter notebook environment that requires no setup to use.
In my opinion, bad visualizations don’t have to be just that. The goal I had in mind was to create a piece that looks totally harmless, but will torture your brain until you realize how absurdly ridiculous the whole thing is.
Datasets which are identical over a number of statistical properties, yet produce dissimilar graphs, are frequently used to illustrate the importance of graphical representations when exploring data. This paper presents a novel method for generating such datasets, along with several examples. Our technique varies from previous approaches in that new datasets are iteratively generated from a seed dataset through random perturbations of individual data points, and can be directed towards a desired outcome through a simulated annealing optimization strategy.
LA Quick Start is a service enabling institutions to begin the learning analytics journey using a sensible system of best practices for initiating a solid learning analytics foundation
”Mathematical Etudes” develop Russian traditions in popularization of mathematics. This site presents 3D animated films which tell about mathematics and its applications in exciting and interesting way. So, dear spectator, we invite you to plunge into the world of beautiful mathematical problems. Their statements understandable for schoolchildren but so far scientists have not solved some of them.
As Python has gained a lot of traction in the recent years in Data Science industry, I wanted to outline some of its most useful libraries for data scientists and engineers, based on recent…
S. Volke, S. Bin, D. Zeckzer, M. Middendorf, and G. Scheuermann. Recent Advances in the Theory and Application of Fitness Landscapes, volume 6 of Emergence, Complexity and Computation, Springer Berlin Heidelberg, (2014)
P. Heim, J. Ziegler, and S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), volume 417 of CEUR Workshop Proceedings, page 49--58. Aachen, (2008)
S. Bin, S. Volke, G. Scheuermann, and M. Middendorf. Theory and Practice of Natural Computing, volume 8890 of Lecture Notes in Computer Science, Springer International Publishing, (2014)
P. Chapman, G. Stapleton, J. Howse, and I. Oliver. 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), page 87-94. (September 2011)
P. Heim, J. Ziegler, and S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), volume 417 of CEUR Workshop Proceedings, page 49--58. Aachen, (2008)
S. Bin, S. Volke, G. Scheuermann, and M. Middendorf. Theory and Practice of Natural Computing, volume 8890 of Lecture Notes in Computer Science, Springer International Publishing, (2014)
S. Callahan, J. Freire, E. Santos, C. Scheidegger, C. Silva, and H. Vo. Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data, page 745–747. New York, NY, USA, Association for Computing Machinery, (2006)
M. Cordeil, A. Cunningham, T. Dwyer, B. Thomas, and K. Marriott. Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, page 71–83. New York, NY, USA, Association for Computing Machinery, (2017)
J. Bruschke, M. Wacker, and F. Niebling. Research and Education in Urban History in the Age of Digital Libraries, page 129--151. Cham, Springer International Publishing, (2021)
T. Höllerer, J. Kuchera-Morin, and X. Amatriain. Proceedings of the 2007 Workshop on Emerging Displays Technologies: Images and beyond: The Future of Displays and Interacton, page 3–es. New York, NY, USA, Association for Computing Machinery, (2007)
P. Schuchardt, and D. Bowman. Proceedings of the 2007 ACM symposium on Virtual reality software and technology - VRST \textquotesingle07, ACM Press, (2007)