{"id":383,"date":"2015-09-29T17:52:03","date_gmt":"2015-09-29T21:52:03","guid":{"rendered":"https:\/\/sites.bu.edu\/data\/?page_id=383"},"modified":"2021-07-30T13:57:48","modified_gmt":"2021-07-30T17:57:48","slug":"code-4","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/data\/code-4\/","title":{"rendered":""},"content":{"rendered":"<h4>Code for recent papers are posted on this github link: <a href=\"https:\/\/github.com\/venkatesh-saligrama\">https:\/\/github.com\/venkatesh-saligrama<\/a><\/h4>\n<h3><\/h3>\n<h4><span style=\"color: #0000ff;\">Code for Older Papers<\/span><\/h4>\n<pre><em><span style=\"text-decoration: underline;\">Anomaly Detection<\/span><\/em><\/pre>\n<p>Connected subgraph detection with mirror descent on SDPs (<a href=\"\/data\/files\/2020\/01\/connected-subgraph-detection-with-mirror-descent-on-sdps.zip\">code<\/a>)<\/p>\n<p>Learning Efficient Anomaly Detectors from K-NN Graphs (<a href=\"\/data\/files\/2017\/07\/Mass_Anomaly.zip\">Data<\/a>)<\/p>\n<p>Connected Sub-graph Detection, AISTATS 2014 (<a href=\"\/data\/files\/2016\/01\/Connected-Sub-graph-Detection.zip\">Data<\/a>)<\/p>\n<p><span>Abnormal Events Detection Based on Spatio-Temporal Co-occurences<\/span>\uff0cCVPR 2009 (<a href=\"https:\/\/drive.google.com\/file\/d\/0B6-0qxo7QiONYmJGalR3NURhT28\/view?usp=sharing\">uturn dataset<\/a>)<\/p>\n<h5><em><span style=\"text-decoration: underline;\">Budget Learning<\/span><\/em><\/h5>\n<p>Feature-Budgeted Random Forest, ICML 2015 (<a href=\"\/data\/files\/2015\/05\/FeatureBudgetedRF.pdf\">pdf<\/a>, <a href=\"https:\/\/github.com\/fnan\/FeatureBudgetedRandomForest\">code<\/a>)<\/p>\n<p>Local Supervised Learning through Space Partitioning, NIPS 2012 (<a href=\"http:\/\/books.nips.cc\/papers\/files\/nips25\/NIPS2012_0054.pdf\">pdf<\/a>, <a href=\"\/data\/files\/2015\/10\/local_lda.zip\">Code<\/a>)<\/p>\n<h5><em><span style=\"text-decoration: underline;\">Zero Shot Learning<\/span><\/em><\/h5>\n<p>Group Membership Prediction, ICCV 2015, (<a href=\"\/data\/files\/2015\/10\/2581_final.pdf\" style=\"font-size: 16px;\">pdf<\/a><span style=\"font-size: 16px;\">, <\/span><a href=\"\/data\/files\/2015\/10\/ZimingZhang_ICCV2015_Group-Membership-Prediction_demo.zip\" style=\"font-size: 16px;\">code<\/a><span style=\"font-size: 16px;\">)<\/span><\/p>\n<p>Zero-Shot Learning via Semantic Similarity Embedding, ICCV 2015 (<a href=\"\/data\/files\/2015\/10\/1728-final.pdf\">pdf<\/a>, <a href=\"\/data\/files\/2015\/10\/ZimingZhang_ICCV2015_Zero-Shot-Learning-via-Semantic-Similarity-Embedding_demo.m\">code<\/a>)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Code for recent papers are posted on this github link: https:\/\/github.com\/venkatesh-saligrama Code for Older Papers Anomaly Detection Connected subgraph detection with mirror descent on SDPs (code) Learning Efficient Anomaly Detectors from K-NN Graphs (Data) Connected Sub-graph Detection, AISTATS 2014 (Data) Abnormal Events Detection Based on Spatio-Temporal Co-occurences\uff0cCVPR 2009 (uturn dataset) Budget Learning Feature-Budgeted Random Forest, [&hellip;]<\/p>\n","protected":false},"author":3217,"featured_media":0,"parent":0,"menu_order":9,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages\/383"}],"collection":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/users\/3217"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/comments?post=383"}],"version-history":[{"count":27,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages\/383\/revisions"}],"predecessor-version":[{"id":912,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages\/383\/revisions\/912"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/media?parent=383"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}