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| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-04 18:19:20 -0800 |
|---|---|---|
| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-04 18:21:49 -0800 |
| commit | ed0be68bfe1098830cc860a0bf3862ec8693aa2e (patch) | |
| tree | 66a44d2cf2522e569ff295080a8ea4b614a90afc /uniqueness.tex | |
| parent | 3dc183008e040aef7c64a4a5ede9557856326e31 (diff) | |
| download | kinect-ed0be68bfe1098830cc860a0bf3862ec8693aa2e.tar.gz | |
jon's pass on first half of section 5
Diffstat (limited to 'uniqueness.tex')
| -rw-r--r-- | uniqueness.tex | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/uniqueness.tex b/uniqueness.tex index 84ec9ce..5bd55e4 100644 --- a/uniqueness.tex +++ b/uniqueness.tex @@ -106,6 +106,8 @@ there are two distinct sources of noise: \item the noise of the new measurement: this comes from the device doing the measurement. \end{itemize} +In \xref{sec:experiment} we show that we can learn good models despite this +noise. %%% Local Variables: %%% mode: latex |