:sparkles: Update example site

exampleSite/config.toml

@@ -1,7 +1,15 @@
+# Website URL (e.g. http://www.example.com/)
 baseurl = "/"
-languageCode = "en-us"
+
 title = "Academic Theme"
-theme = "hugo-academic"
+copyright = "© 2016 Your Name"
+languageCode = "en-us"
+theme = "academic"
+
+# Enable comments by entering your Disqus shortname
+disqusShortname = "spf13"
+
+# Enable analytics by entering your Google Analytics tracking ID
 googleAnalytics = ""
 
 
@@ -37,31 +45,41 @@ googleAnalytics = ""
     #
     # Icon pack "fa" includes the following social network icons:
     #   twitter, weibo, linkedin, github, facebook, pinterest, google-plus, youtube, instagram, soundcloud
+    #   For email icon, use "fa" icon pack, "envelope" icon, and "mailto:your@email.com" as the link.
     #   Full list: https://fortawesome.github.io/Font-Awesome/icons/
     #
     # Icon pack "ai" includes the following academic network icons:
     #   google-scholar, arxiv, orcid, researchgate, mendeley
     #   Full list: https://jpswalsh.github.io/academicons/
 
-    [[params.contact.social]]
+    [[params.social]]
+        icon = "envelope"
+        icon_pack = "fa"
+        link = "mailto:test@example.org"
+
+    [[params.social]]
         icon = "twitter"
         icon_pack = "fa"
         link = "//twitter.com/GeorgeCushen"
 
-    [[params.contact.social]]
+    [[params.social]]
         icon = "google-scholar"
         icon_pack = "ai"
         link = "https://scholar.google.co.uk/citations?user=sIwtMXoAAAAJ"
 
-    [[params.contact.social]]
+    [[params.social]]
         icon = "github"
         icon_pack = "fa"
         link = "//github.com/gcushen"
 
 
+# Navigation Links
+#
+# The weight parameter defines the order that the links will appear in.
+
 [[menu.main]]
-    name = "Bio"
-    url = "/"
+    name = "Home"
+    url = "/#bio"
     weight = 1
 
 [[menu.main]]
@@ -70,8 +88,8 @@ googleAnalytics = ""
     weight = 2
 
 [[menu.main]]
-    name = "News"
-    url = "/#news"
+    name = "Posts"
+    url = "/#posts"
     weight = 3
 
 [[menu.main]]

exampleSite/content/home/about.md

@@ -2,6 +2,8 @@
 date = "2016-04-20T00:00:00"
 draft = false
 title = "about"
+section_id = 0
+weight = 0
 +++
 
 ## Biography

exampleSite/content/home/teaching.md

@@ -2,10 +2,10 @@
 date = "2016-04-20T00:00:00"
 draft = false
 title = "teaching"
+section_id = 10
+weight = 10
 +++
 
-## Teaching
-
 I am a teaching instructor for the following courses at University X:
 
 - CS101: An intro to computer science

exampleSite/content/blog/example-post.md → exampleSite/content/post/example-post.md

@@ -1,8 +1,9 @@
 +++
 date = "2016-04-20T00:00:00"
 draft = false
-tags = ["test"]
-title = "An example news post"
+tags = ["test", "programming"]
+title = "Programming Example"
+math = false
 +++
 
 **Lorem ipsum** dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.

exampleSite/content/blog/another-post.md → exampleSite/content/post/math-example.md

@@ -1,8 +1,9 @@
 +++
 date = "2016-04-20T00:00:00"
 draft = false
-tags = ["test"]
-title = "Another example news post"
+tags = ["test", "math"]
+title = "Math Example"
+math = true
 +++
 
 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.

exampleSite/content/publications/clothing-search.md → exampleSite/content/publication/clothing-search.md

@@ -2,6 +2,7 @@
 abstract = "We present a mobile visual clothing search system whereby a smart phone user can either choose a social networking photo or take a new photo of a person wearing clothing of interest and search for similar clothing in a retail database. From the query image, the person is detected, clothing is segmented, and clothing features are extracted and quantized. The information is sent from the phone client to a server, where the feature vector of the query image is used to retrieve similar clothing products from online databases. The phone's GPS location is used to re-rank results by retail store location. State of the art work focuses primarily on the recognition of a diverse range of clothing offline and pays little attention to practical applications. Evaluated on a challenging dataset, the system is relatively fast and achieves promising results."
 authors = ["GA Cushen", "MS Nixon"]
 date = "2013-07-01"
+math = true
 publication = "In *IEEE International Conference on Multimedia and Expo Workshops (ICMEW)*"
 title = "Mobile visual clothing search"
 url_code = "#"
@@ -9,10 +10,13 @@ url_dataset = "#"
 url_image = ""
 url_pdf = "http://eprints.soton.ac.uk/352095/1/Cushen-IMV2013.pdf"
 url_project = "#"
+url_slides = "#"
+url_video = "#"
 
 [[url_custom]]
 name = " Custom Link"
 url = "http://www.example.org"
+
 +++
 
-More detail can easily be written here using *Markdown*.
+More detail can easily be written here using *Markdown* and $\rm \LaTeX$ math code.

exampleSite/content/publications/person-re-identification.md → exampleSite/content/publication/person-re-identification.md

@@ -2,6 +2,7 @@
 abstract = "Person re-identification is a critical security task for recognizing a person across spatially disjoint sensors. Previous work can be computationally intensive and is mainly based on low-level cues extracted from RGB data and implemented on a PC for a fixed sensor network (such as traditional CCTV). We present a practical and efficient framework for mobile devices (such as smart phones and robots) where high-level semantic soft biometrics are extracted from RGB and depth data. By combining these cues, our approach attempts to provide robustness to noise, illumination, and minor variations in clothing. This mobile approach may be particularly useful for the identification of persons in areas ill-served by fixed sensors or for tasks where the sensor position and direction need to dynamically adapt to a target. Results on the BIWI dataset are preliminary but encouraging. Further evaluation and demonstration of the system will be available on our website."
 authors = ["GA Cushen"]
 date = "2015-09-01"
+math = true
 publication = "In *Signal Image Technology & Internet Systems (SITIS)*"
 title = "A Person Re-Identification System For Mobile Devices"
 url_code = ""
@@ -9,7 +10,9 @@ url_dataset = ""
 url_image = ""
 url_pdf = "http://arxiv.org/pdf/1512.04133v1"
 url_project = ""
+url_slides = ""
+url_video = ""
 
 +++
 
-More detail can easily be written here using *Markdown*.
+More detail can easily be written here using *Markdown* and $\rm \LaTeX$ math code.