CS488 Update

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In the past week, I worked on modifying my diagram and finished generating results. I also tried to draw meaningful insights from the validation results. After chatting with Xunfei, I finalized my poster and thought about elements to add to … Read More

CS 488 – Week 9

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This past week I worked on my other model that uses both engaging/readable and non-engaging/readable advertisements, I found that this model does not perform well because of the lack of parallel data and sentence structures between the two different sentences. … Read More

Week 7

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 I fixed the problem where all returned images look the same. I started looking into how to parallelize the code and learning photography techniques to make images better.  I have also made a more presentable diagram, which I will also … Read More

Elevator Pitch

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My senior project is to develop a technology that provides higher performance and security for target applications. It is called unikernel which is an optimized library operating system. Unikernel consists of the minimum set of components that a target application … Read More

CS 488 – Week 6

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— Elevator Pitch —  My project aims to use a sequence to sequence encoder-decoder model to make text-based advertisements more engaging and readable. This will help businesses get an edge over their competitors by attracting new customers as well as retaining … Read More

CS488 Week 5

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This week, I focused on writing the outline of the paper. I also have been using NLTK to extract features from the text reviews. I need to figure out how to handle a review that has multiple sentences since my … Read More

CS488 Week 3

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For this week, I followed a tutorial from Educative about Natural Language Processing and followed for data preprocessing. I was able to load the dataset and I am in the process of preprocessing it. I ran into a problem of … Read More

CS488 Week 2

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For the past week, I was able to skim through the Amazon Review datasets and chose Clothing, Shoes and Jewelry, on the criteria that its size is not too much. I then researched and learnt how to use pandas to … Read More

CS 488 – Week 5

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This week, I focus on the writing parts including the outline for the capstone paper. I also start implementing some neural network models for the image data set such as MobileNet and EfficientNet. I will try to test the model … Read More

CS 488 – Week 4

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This week, I started the data preprocess for my image data. The steps include, resizing, cropping, normalizing and lastly change to tensor value so that it can be fit in a neural network. For the numerical data set, I started … Read More

Week 3

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I have started working on passing images to the ranking algorithm. I also have found some online food-photography courses I want to look at. Learning that will be helpful in knowing how to improve my images.

CS 488 – Week 2

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This week I have looked at some papers of most recent models for classifying images to build for my dataset. I encountered some challenges while reading those papers since there were terms that were hard to understand. Next week, I … Read More

Week 12

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I have been continuing learning machine learning with Python, specifically  PyTorch. I started with PyTorch because it has a less steep learning curve compared to Tensorflow (the alternative). However, there are more tutorials for Tensorflow and I might pivot next … Read More

Week 8

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In the past few weeks I have settled on my topic being exploring gender bias on a website using a combination of computational linguistics and quantitative analysis. After writing my literature review on work that explored a variety of sites, … Read More

CS388 – Week 7 – Update

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I finalized my proposal to “Applying Voiceprint Recognition Technology to Identity Verification”. The keywords are voice recognition, voiceprint, feature extraction, voice detection, voice verification. The difficulty I might encounter is that there may be background noise in the voice input. If … Read More

Week 6

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I am going with the auto-image processing for food. I have been looking more into the literature, and there is limited literature that deals with making food look better, and they are all relatively recent publications. However, there is literature … Read More

Week 4

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After talking to Igor, I realized I could incorporate a food recommendation system to my food ordering app. After thinking some more, I realized the food recommender might actually be more interesting than the food ordering system.

Weekly Update

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Read the CS papers help documents to understand how to read and understand the long papers. Finding difficulties in searching for papers directly related to my ideas. Read a couple of papers according to the instructions which helped understand the … Read More

Week 3 Update

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I have talked with Ajit about all three ideas and received some feedbacks and suggestion. Also, I have started finding research papers that are related to my ideas to read for next week.

Topic ideas

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Here are my ideas for topics! Another post with some cost analyses is coming soon! Topic Name: Real-time management using Augmented Reality  Topic Description: Examine the applications of Head-Mounted augmented reality displays such as HoloLens or Project Northstar in real-time … Read More

Week 1 Ideas

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Idea 1: Optical Character Recognition using Machine Learning Optical character recognition is not a completely new field of research. However, with the advance of today’s technology, we can apply machine learning to optical character recognition and therefore can recognize not … Read More