Finished the final draft of project proposal.
CS388 Final Proposal
on 2019-12-14
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CS 388 – Week 16 – Update
I submitted the final proposal for my project. It is attached with this post.
CS 388 – Week 15 – Updates
I just worked on my final paper this week. I met with Xunfei to ask questions about it.
Week 15
I have been working on my final proposal this week. I will post it after the deadline for the assignment.
CS388-Week16-Update
I finished my final proposal and I’m rechecking everything for submission this week.
CS388 – Week 13 Update
In the past week, I have been working mostly on my presentation and
my proposal. My proposal is close to a finished state, but I am still
working on collecting preliminary results. I have also been trying to
create new figures (images and charts) which are easier to read on
printed copies of my proposal.
For the implementation itself, I am still working on the things I outlined in the first section of my project timeline (setting up the pipeline of the project without adding all the features at each stage), to try and get a minimum version working. I think that this will take a couple more weeks, but I am hopeful that it will lead to me having some buffer time next semester during my implementation of the project.
CS388 – Week 13 – Update
I finished my presentation. My next step is to add abstract and more introduction to my proposal paper, and finish the final version of it. I have done more research in the past week and planed to change my modeling method from GMM-UBM to Convolutional Neural Network or Deep Neural Network. GMM-UBM is very classical but also “old-fashioned”. CNN and DNN are newer and better. GMM-UBM’s performance lowers as the amount of speakers increases. But I do not have enough time to change method for this semester. I will do more research during winter break and probably change next semester.
CS388 – Week 13 Update
I made final edits to my presentation and finished reading 3rd passes for all papers I have found. I have also revised my design by adding some more details to it. I have found a book about OpenCV projects so I have started implementing an application for image recognition. I am still working on my final draft proposal. More research is done on Android camera API, to see what I can use and what I cannot for my application. I plan to implement small chunks of my senior project during winter break, so I am looking for online resources to walk me through the process.
CS 388 -Week 15 – Updates
I have researched and read a few more papers in the last week. I have expanded upon my analyze -> split -> replace modules with actual implementation details using an encoder-decoder model to swap less engaging text with more engaging text. In order to do this, the text needs to be vectorized and then trained. I have also found a module that can help me achieve that. I have also extensively worked on my proposal presentation. I also met with my advisor and went over the presentation and was advised to explain the slides in a way that a person with no understanding of neural networks can understand what is being communicated.
CS 388 – Week 14 – Updates
In the past week, I browsed to see if I could find a better data set for my project. I wanted to find a data set with users’ purchase history as well as the product information, but I could not find the appropriate data set to apply hybrid filtering. So I ended up modifying it to content-based recommender. I thought of more details to add to the project and discussed with Xunfei about ways to expand it. I ended up revising my diagram and some parts of the design. I also worked on creating slides for the presentation.
CS 388 – Week 14 – Updates
This past week, I spent time working on the presentation. I also met with Charlie to discuss the presentation slides. Charlie told me to replace a table in the Motivation section with graphs to show how wildfires have increased overtime. He also told me to cut down some texts in the Related Work sections. For the Proposed solution, he told me to redesign my graph. I also had to add more details in the Timeline and Budget sections. I also worked on the final paper during the break by adding the new requested sections.
CS 388 – Week 14 – Updates
- I spent the vast majority of this week looking for projects that have specifically detailed how they implemented a fake news detector and reading through the articles I’ve already found.
- While some have given a lot more detail on their process, unfortunately, I can’t understand some of the details.
- A lot of the details go into the mathematical aspects of machine learning and convolutional neural networks. That’s very difficult for me because math is not my strong suit.
- I will either have to find a tutorial that will actually explain it well or I might have to compromise my big goals for this project. I need help finding papers or tutorials that clearly explain their processes so I can move forward in the way that I want to.