m8ta
use https for features.
text: sort by
tags: modified
type: chronology
{231} is owned by tlh24.
{1449}
hide / / print
ref: -0 tags: sparse coding reference list olshausen field date: 03-11-2019 21:59 gmt revision:3 [2] [1] [0] [head]

This was compiled from searching papers which referenced Olhausen and Field 1996 PMID-8637596 Emergence of simple-cell receptive field properties by learning a sparse code for natural images.

{1318}
hide / / print
ref: -0 tags: standard enthalpy chemicals list pdf date: 06-25-2015 00:09 gmt revision:1 [0] [head]

Standard thermodynamic properties of chemical substances

{949}
hide / / print
ref: Velliste-2008.06 tags: Schwartz 2008 Velliste BMI feeding population vector date: 01-06-2012 00:19 gmt revision:1 [0] [head]

PMID-18509337[0] Cortical control of a prosthetic arm for self-feeding

  • Idea: move BMI into robotic control.
  • population vector control, which has been shown to be inferior to the Wiener filter.
  • 112 units for control in one monkey. 2 monkeys used.
  • 4D control -- x, y, z, gripper.
  • 1064 trials over 13 days, average success rate of 78%
  • Gripper opened as the arm returned to mouth. Works b/c marshmallows are sticky.

____References____

[0] Velliste M, Perel S, Spalding MC, Whitford AS, Schwartz AB, Cortical control of a prosthetic arm for self-feeding.Nature 453:7198, 1098-101 (2008 Jun 19)

{19}
hide / / print
ref: notes-0 tags: debian apt sources list date: 0-0-2006 0:0 revision:0 [head]

/etc/apt/sources.list:

#deb file:///cdrom/ sarge main

deb http://mirrors.kernel.org/debian/ unstable main contrib non-free
deb-src http://mirrors.kernel.org/debian/ unstable main contrib non-free

deb http://security.debian.org/ stable/updates main contrib non-free
later run as root:
  # apt-get update
  # aptitude install aptitude 
  # aptitude -f --with-recommends dist-upgrade
  # reboot
then you'll probably want to get a newer kernel, ala: http://www.howtoforge.com/forums/showthread.php?t=21

{40}
hide / / print
ref: bookmark-0 tags: Bayes Baysian_networks probability probabalistic_networks Kalman ICA PCA HMM Dynamic_programming inference learning date: 0-0-2006 0:0 revision:0 [head]

http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html very, very good! many references, well explained too.