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authorDouglas Rumbaugh <dbr4@psu.edu>2025-05-22 14:34:30 -0400
committerDouglas Rumbaugh <dbr4@psu.edu>2025-05-22 14:34:30 -0400
commitd49867867cf950a85cabcbcbaf43bb762c9912ac (patch)
treeb124735346cbf75185d65df3704285ac2e742541 /chapters/beyond-dsp.tex
parentae552423e36a12a458a1719a6607998ccf129a38 (diff)
downloaddissertation-d49867867cf950a85cabcbcbaf43bb762c9912ac.tar.gz
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@@ -1353,7 +1353,7 @@ structures. Specifically,
\subsection{Design Space Evaluation}
-
+\label{ssec:dyn-ds-exp}
\begin{figure}
%\vspace{0pt}
\centering
@@ -1519,7 +1519,7 @@ in this case, doesn't add a significant amount of overhead over a single
instance of the static structure.
\subsection{$k$-NN Search}
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+\label{ssec:dyn-knn-exp}
Next, we'll consider answering high dimensional exact $k$-NN queries
using a static Vantage Point Tree (VPTree)~\cite{vptree}. This is a
binary search tree with internal nodes that partition records based