Films Web App • MAY 2021
I implemented Films Web App using datasets provided by TMDB API.
I implemented Films Web App using datasets provided by TMDB API.
I implemented Films Android App using datasets provided by TMDB API .
We visualized military expenditures of top-10 spenders, information concerning militarized interstate disputes, wars, and international trade using datasets provided by the Correlates of Wars. A chart demonstrates the relationship between the number of countries at war and the total amount of international trade. We designed and developed the web application on Node.js, and front-end interface using Angular written in JavaScript and Bootstrap CSS framework. The responsive and interactive charts were implemented with D3.js to discover data features.
I implemented the Perceptron learning, Pocket algorithm, Logistic regression, and Linear regression with Matlab.
I implemented the ID3 with Matlab.
I implemented the K-means clustering and Gaussian Mixture Model with Matlab.
I implemented PCY AND SON algorithm with Apriori with Python.
I implemented CURE algorithm with Python.
We analyzed a dataset provided by the Department of Surgery at USC’s Keck School of Medicine, so as to identify features associated with graft survival after orthotopic liver transplantation. Neural networks and SVM were utilized to predict graft survival after Orthotopic liver transplantation using pre-transplant features. The machine learning algorithms were implemented with Python and Keras library.
We developed an Android application (in Java) for the USC community, which includes students, faculty, and alumni, to recommend good resources in the USC campus and share their extraordinary experiences. We used Firebase as the database to store all the data and resource.
I implemented the HITS with Apache Spark. I also made the spectral clusting with python.
I implemented a movie recommendation with matrix factorization approach and so on with Apache Spark.
I implemented the Hidden Markov Models with Matlab.
I implemented the Neural Network with Matlab and Python.
I implemented the Support Vector Machines with Matlab.
I implemented the PCA with Matlab.
Published in The 26th Workshop on Image Processing and Image Understanding (IPIU-14), 2014
[Korean Version PDF] [English Version PDF]
Recommended citation: Myeong Hui Ha, Hyun jun Choi, Min Kook Choi, Sang Chul Lee. The 26th Workshop on Image Processing and Image Understanding. IPIU 2014.
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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