tag:blogger.com,1999:blog-15418143.post112973516541537169..comments2024-03-09T05:42:18.102-05:00Comments on Tombone's Computer Vision Blog: Latent Dirichlet AllocationTomasz Malisiewiczhttp://www.blogger.com/profile/17507234774392358321noreply@blogger.comBlogger7125tag:blogger.com,1999:blog-15418143.post-45369964278143830352009-11-12T19:46:38.044-05:002009-11-12T19:46:38.044-05:00I am new to lda, but I confuse about it input and ...I am new to lda, but I confuse about it input and output, how can I use Ida. how can I chang text file into lda input format. I am not cleat on feature id. is it means this word is fifth in the vocabulary and it's feature id is 15.kylinthinkerhttps://www.blogger.com/profile/07340193684799530570noreply@blogger.comtag:blogger.com,1999:blog-15418143.post-1161708281538392482006-10-24T11:44:00.000-05:002006-10-24T11:44:00.000-05:00What license is the code released under?What license is the code released under?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15418143.post-1157509949734510752006-09-05T21:32:00.000-05:002006-09-05T21:32:00.000-05:00Hey, do you read Blei's work on GM-LDA? Do you kno...Hey, do you read Blei's work on GM-LDA? Do you know how to use Gibbs sampling to do inference for GM-LDA? Please let me know by using sueyan@gmail.com. Thanks!Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15418143.post-1154637039345952402006-08-03T15:30:00.000-05:002006-08-03T15:30:00.000-05:00In the domain of text, we did compare LDA and pLSA...In the domain of text, we did compare LDA and pLSA and found the results fairly similar. The LDA results looked slightly better; however we didn't do a quantitative evaluation.<BR/><BR/>An advantage of being Bayesian and using LDA as opposed to pLSA is that you aren't restricted to using a Dirichlet Prior for the topic mixture proportions. In the domain of object detection, Jon and I used the Logistic-Normal distribution to model the context between objects (like the Correlated Topic Model paper from Blei/Lafferty). You can find more information about the Logistic-Normal here:<BR/><BR/><A HREF="http://www.cs.cmu.edu/~tmalisie/sword_allocation/sword_allocation.pdf" REL="nofollow">Detecting Objects via Multiple Segmentations and Latent Topic Models</A><BR/><BR/>and<BR/><A HREF="http://www.cs.cmu.edu/~tmalisie/sword_allocation/ctm.pdf" REL="nofollow">Correlated Topic Model Details</A>Tomasz Malisiewiczhttps://www.blogger.com/profile/17507234774392358321noreply@blogger.comtag:blogger.com,1999:blog-15418143.post-1147077703597199352006-05-08T03:41:00.000-05:002006-05-08T03:41:00.000-05:00Do you have try to compare the LDA and PLSA?Do you have try to compare the LDA and PLSA?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-15418143.post-1144082576334434892006-04-03T11:42:00.001-05:002006-04-03T11:42:00.001-05:00This MATLAB version of Latent Dirichlet Allocation...This MATLAB version of Latent Dirichlet Allocation requires Minka's Lightspeed toolbox.Tomasz Malisiewiczhttps://www.blogger.com/profile/17507234774392358321noreply@blogger.comtag:blogger.com,1999:blog-15418143.post-1144082524875902542006-04-03T11:42:00.000-05:002006-04-03T11:42:00.000-05:00Jonathan has posted the LDA code we wrote for our ...Jonathan has posted the LDA code we wrote for our Machine Learning course.<BR/><BR/>The code can be found under the "Code" section of <A HREF="http://www.cs.cmu.edu/~jch1/projects.html" REL="nofollow">Jon's Projects Page</A>.Tomasz Malisiewiczhttps://www.blogger.com/profile/17507234774392358321noreply@blogger.com