annotate Report/chiliguano_msc_finalproject.lof @ 47:b0186d4a4496 tip

Move 7Digital dataset to Downloads
author Paulo Chiliguano <p.e.chiliguano@se14.qmul.ac.uk>
date Sat, 09 Jul 2022 00:50:43 -0500
parents eba57dbe56f3
children
rev   line source
p@27 1 \boolfalse {citerequest}\boolfalse {citetracker}\boolfalse {pagetracker}\boolfalse {backtracker}\relax
p@27 2 \defcounter {refsection}{0}\relax
p@20 3 \addvspace {10\p@ }
p@27 4 \defcounter {refsection}{0}\relax
p@20 5 \addvspace {10\p@ }
p@27 6 \defcounter {refsection}{0}\relax
p@27 7 \contentsline {figure}{\numberline {2.1}{\ignorespaces Collaborative filtering process \parencite {sarwar2001item}\relax }}{9}{figure.caption.5}
p@27 8 \defcounter {refsection}{0}\relax
p@27 9 \contentsline {figure}{\numberline {2.2}{\ignorespaces User based collaborative filtering \parencite {1_siddharths_blog_2013}\relax }}{9}{figure.caption.6}
p@27 10 \defcounter {refsection}{0}\relax
p@27 11 \contentsline {figure}{\numberline {2.3}{\ignorespaces Item based collaborative filtering \parencite {1_siddharths_blog_2013}\relax }}{9}{figure.caption.7}
p@27 12 \defcounter {refsection}{0}\relax
p@27 13 \contentsline {figure}{\numberline {2.4}{\ignorespaces Content-based filtering process \parencite {1_blogseagatesoftcom_2015}\relax }}{11}{figure.caption.10}
p@27 14 \defcounter {refsection}{0}\relax
p@29 15 \contentsline {figure}{\numberline {2.5}{\ignorespaces Three-way aspect model\nobreakspace {}\parencite {Yoshii2008435}\relax }}{17}{figure.caption.14}
p@27 16 \defcounter {refsection}{0}\relax
p@29 17 \contentsline {figure}{\numberline {2.6}{\ignorespaces Schematic representation of a deep neural network\nobreakspace {}\parencite {1_brown_2014}\relax }}{19}{figure.caption.15}
p@27 18 \defcounter {refsection}{0}\relax
p@30 19 \contentsline {figure}{\numberline {2.7}{\ignorespaces Convolutional deep neural network LeNet model \parencite {1_deeplearning.net_2015}\relax }}{22}{figure.caption.17}
p@27 20 \defcounter {refsection}{0}\relax
p@29 21 \contentsline {figure}{\numberline {2.8}{\ignorespaces Flowchart of estimation of distribution algorithm \parencite {Ding2015451}\relax }}{23}{figure.caption.19}
p@27 22 \defcounter {refsection}{0}\relax
p@20 23 \addvspace {10\p@ }
p@27 24 \defcounter {refsection}{0}\relax
p@29 25 \contentsline {figure}{\numberline {3.1}{\ignorespaces Diagram of the cleaning process of the Taste Profile subset\relax }}{29}{figure.caption.20}
p@29 26 \defcounter {refsection}{0}\relax
p@29 27 \contentsline {figure}{\numberline {3.2}{\ignorespaces Flowchart of the fetching audio process\relax }}{32}{figure.caption.21}
p@29 28 \defcounter {refsection}{0}\relax
p@29 29 \contentsline {figure}{\numberline {3.3}{\ignorespaces Flowchart for time-frequency representation process\relax }}{32}{figure.caption.22}
p@29 30 \defcounter {refsection}{0}\relax
p@30 31 \contentsline {figure}{\numberline {3.4}{\ignorespaces Diagram of the hybrid music recommender\relax }}{36}{figure.caption.23}
p@29 32 \defcounter {refsection}{0}\relax
p@30 33 \contentsline {figure}{\numberline {3.5}{\ignorespaces Diagram of CDNN for music genre classification\nobreakspace {}\parencite {kereliuk15}\relax }}{37}{figure.caption.25}
p@27 34 \defcounter {refsection}{0}\relax
p@20 35 \addvspace {10\p@ }
p@27 36 \defcounter {refsection}{0}\relax
p@20 37 \addvspace {10\p@ }
p@27 38 \defcounter {refsection}{0}\relax
p@20 39 \addvspace {10\p@ }