Selected Publications

Recent Posts

1 min read

In this post, I will show you how to use Google Scholar to advance your research.

Test some images Test image

Test some latex equations $$x^2 + 2x + 1 > 2x$$

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1 min read
This is the overview of basic and important machine learning models, methods and concepts and theories. I acknowledge all information and knowledge including images, data… I have taken from those two courses: https://www.coursera.org/learn/machine-learning and http://classes.engr.oregonstate.edu/eecs/fall2015/cs534/. Our series comprise of following topics: Section 1: Introduction, Linear regression, Generative and Discriminative Model, Perceptron, Logistic Regression, Naive Bayes and Gaussian Discriminant Analysis (this post). Section 2: Four important Discriminative Models: K-Nearest Neighbors, Support Vector Machine, Decision Tree and Neural Network.

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5 min read
This is my first post on Machine Learning, Deep Learning and Computer Vision series in Medium. I am currently a Ph.D. Student in Computer Science with research interests are Computer Vision and Machine Learning. On this series, I will share with you the roadmap I have experienced. I hope that everything I share is somehow helps you save time when exploring Machine Learning field. First, I will discuss about the relationship between Machine Learning and other areas.

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Projects

Action Recognition

Given a video, the task is to recognize the group activity by collectively considering the individual actions.

Teaching

I was a teaching assistant for the following courses at Bach Khoa University (HCMUT), Ho Chi Minh City, Vietnam:

  • Introduction to Programming, Fall 2014
  • Principal of Programming Language, Fall 2013
  • Artificial Intelligent, Spring 2013
  • Data Structure and Algorithm, Fall 2012

Tags

Contact

  • nguyenkh _at_ oregonstate.edu
  • Kelly Engineering Center, Corvallis, OR 97331