{"id":185243,"date":"2010-09-13T00:00:00","date_gmt":"2010-09-15T13:01:23","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/exploiting-sparsity-in-unsupervised-classification\/"},"modified":"2016-08-22T11:28:40","modified_gmt":"2016-08-22T18:28:40","slug":"exploiting-sparsity-in-unsupervised-classification","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/exploiting-sparsity-in-unsupervised-classification\/","title":{"rendered":"Exploiting Sparsity in Unsupervised Classification"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We talk about two unsupervised classification projects in which the provided data have a low dimensional structure. We show how this sparsity information can be used to increase the classification accuracy.<\/p>\n<p>First, we describe how to use the Internet Movie Database cast-list to automatically detect and classify the actors appearing in movies such as sleepless in Seattle.  We present the way we automatically detect and cluster the faces in real-time, and we show an efficient way to classify the faces in a new movie by exploiting the recent results on dictionary learning and compressed sensing.<\/p>\n<p>We then consider a more generic system with millions of Question and Answer pairs and use two semantic analysis methods (linked-LDA, and linked-LSA) to capture the relationship between questions and constituent words. We express improvements in performance using the recall and the F-measure. We conclude with a discussion of challenges for future work.<\/p>\n<p>These results were obtained at AT&T in collaboration with Howard Karloff, Patrick Haffner, Srinivas Bangalore, Taniya Mishra, and Carlos Scheidegger.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We talk about two unsupervised classification projects in which the provided data have a low dimensional structure. We show how this sparsity information can be used to increase the classification accuracy. First, we describe how to use the Internet Movie Database cast-list to automatically detect and classify the actors appearing in movies such as sleepless [&hellip;]<\/p>\n","protected":false},"featured_media":195718,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-185243","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/W0n6XmzPSuc","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/185243","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/185243\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/195718"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=185243"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=185243"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=185243"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=185243"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=185243"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=185243"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=185243"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=185243"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=185243"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=185243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}