espeed

87 ms·

1. 871.▲
   Physicists Uncover Geometric ‘Theory Space’(quantamagazine.org)

   2 points by espeed 10y ago|0 comments
2. 872.▲
   Field Patterns: A New Mathematical Object (2017) [pdf](arxiv.org)

   3 points by espeed 10y ago|0 comments
3. 873.▲
   A Wordnet from the Ground Up [pdf](site.uottawa.ca)

   2 points by espeed 10y ago|0 comments
4. 874.▲
   Complex Hyperbolic Lattices [pdf](maths.dur.ac.uk)

   3 points by espeed 10y ago|0 comments
5. 875.▲
   Benchmarking the Graphulo Processing Framework [pdf](vijayg.mit.edu)

   2 points by espeed 10y ago|0 comments
6. 876.▲
   (Cross-)Browser Fingerprinting via OS and Hardware Level Features (2017) [pdf](yinzhicao.org)

   2 points by espeed 10y ago|0 comments
7. 877.▲
   BetrFS: A Right-Optimized Write-Optimized File System [video](youtube.com)

   2 points by espeed 10y ago|0 comments
8. 878.▲
   A Tiny and Closed Fraternity of Privileged Men: The Roots of “Liberal Media” [pdf](ijoc.org)

   1 points by espeed 10y ago|0 comments
9. 879.▲
   HyPer: High-Performance Geospatial Analytics in HyPerSpace [pdf](db.in.tum.de)

   2 points by espeed 10y ago|0 comments
10. 880.▲
    The Distribution of Prime Numbers on the Square Root Spiral [pdf](arxiv.org)

    1 points by espeed 10y ago|0 comments
11. 881.▲
    The REX Neo Architecture: An energy efficient new processor architecture [video](youtube.com)

    4 points by espeed 10y ago|2 comments
12. 882.▲
    by espeed 10y ago

    Start with a refresher on calculus -- MIT's "Big Picture Calculus" video series is designed precisely for this: https://news.ycombinator.com/item?id=13634476 To develop your visual intuition, watch 3Blue1Bro
13. 883.▲
    by espeed 10y ago

    How much math have you had in school? What classes have you taken? Are you still in school, and if so, what is your major?
14. 884.▲
    Voodoo – A Vector Algebra for Portable Database Performance on Modern Hardware [pdf](vldb.org)

    1 points by espeed 10y ago|0 comments
15. 885.▲
    Lara: A Key-Value Algebra Underlying Arrays and Relations [pdf](arxiv.org)

    3 points by espeed 10y ago|0 comments
16. 886.▲
    A Survey of Bitmap Index Compression Algorithms for Big Data [pdf](ieeexplore.ieee.org)

    2 points by espeed 10y ago|0 comments
17. 887.▲
    P-adic arithmetic coding(arxiv.org)

    1 points by espeed 10y ago|0 comments
18. 888.▲
    What the Small Rubik’s Cube Taught Me about Data Structures, Info Theory & Rand' [pdf](cs.tut.fi)

    1 points by espeed 10y ago|0 comments
19. 889.▲
    Robert Ghrist Geometrical Topology Lecture 1 [video](vimeo.com)

    2 points by espeed 10y ago|0 comments
20. 890.▲
    What Are P-Adic Numbers? What Are They Used For? [pdf](asiapacific-mathnews.com)

    2 points by espeed 10y ago|0 comments
21. 891.▲
    by espeed 10y ago

    The infinite sum makes sense when using the p-adic number system [1] -- and measuring distance using the p-adic metric -- which forms an ultrametric space [2]. An interesting related concept is the Bruhat–Tits building [3]. For an intro on
22. 892.▲
    What does it feel like to invent math? (2015) [video](youtube.com)

    106 points by espeed 10y ago|20 comments
23. 893.▲
    Learning to Rank for Spatiotemporal Search [pdf](metablake.com)

    2 points by espeed 10y ago|0 comments
24. 894.▲
    Computational Algebraic Topology [video](youtube.com)

    2 points by espeed 10y ago|0 comments
25. 895.▲
    by espeed 10y ago

    Prof Robinson's book is Topological Signal Processing [1], and there are a ton of papers linked from his home page [2]. For a general overview, check out the wikipedia page: https://en.wikipedia.org/wiki/Sheaf_(m
26. 896.▲
    by espeed 10y ago

    A sheaf is a combinatorial, high-dimensional data structure on a topological space. You can use it to stitch together images, spatio-temporal target tracking, inference, data fusion, IoT time-series, continuous functions -- all kinds of thi
27. 897.▲
    Sheaf Theory: The Mathematics of Data Fusion (audio starts at 10:44) [video](youtube.com)

    85 points by espeed 10y ago|17 comments
28. 898.▲
    Sheaves are the canonical data structure for sensor integration(arxiv.org)

    2 points by espeed 10y ago|0 comments
29. 899.▲
    by espeed 10y ago

    I code come back sleep go back .. dont feel good .. Its really empty right now in this room .. will be the same the day after and the day after What city? coding/sleeping/coding/sleeping...coding/sleeping is not a sust
30. 900.▲
    Sheaves for engineering problems [video](youtube.com)

    1 points by espeed 10y ago|0 comments