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| -rw-r--r-- | algorithm.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/algorithm.tex b/algorithm.tex index 7f6543a..ff396eb 100644 --- a/algorithm.tex +++ b/algorithm.tex @@ -21,7 +21,7 @@ We want a probabilistic model for the joint distribution $P(\bx, y)$. Our dataset $\cD = \set{(\bx_1, y_1),\ldots,(\bx_n, y_n)}$ consists of $n$ pairs $(\bx_i, y_i)$ where $y_i$ is the label of the skeleton $\bx_i$. For each feature $k\in \set{1,\ldots, 9}$, we plot the histogram of the set of -differences $\set{(\bx_i)_k - (\bar{\bx}_{y_i})_k,\; i\in\set{3,\ldots, n}}$, +differences $\set{(\bx_i)_k - (\bar{\bx}_{y_i})_k,\; i\in\set{1,\ldots, n}}$, between a measurement of a feature $(\bx_i)_k$ and the average of all the measurements of the same feature belonging to the same class $(\bar{\bx}_{y_i})_k$. These histograms are presented in Figure~\ref{fig:error |