Yesterday, I led a workshop on LaTeX for engineering students. As a supplement, I wrote the following document to help people get started with LaTeX. Your feedback is welcome. Enjoy. [PDF]
Thirty Tips For Dissertation Writing
Earlier today, I attended an excellent workshop by Dr. Rachna Jain on writing the dissertation. About 150-200 students attended. Here is some of her advice. Continue Reading…
Engineers Build Computerized Beauty Contest Judges. Swell.
I was browsing Stack Overflow when I came across this question that asks how to use image processing and machine learning to measure the beauty of a human face. As this answer explains, papers have already been written on the topic, including this one in ECCV 2010. Continue Reading…
Resumé Template in LaTeX
People have been asking for the LaTeX template that I used to build my resumé/CV. Here it is: Continue Reading…
The One-Step Build for Academic Researchers
The Joel Test is a set of twelve simple yes/no questions written by Joel Spolsky that is supposed to measure how good a software team is. Some of these questions include “Do you have a spec?”, “Do you have testers?”, and “Do you use source control?”. A software team that can answer “yes” to all twelve questions probably produces excellent software, according to Spolsky. Continue Reading…
I used Matlab. Now I use Python.
Colleagues have asked me why I changed from Matlab to Python, and what makes Python so great. For example, a friend recently asked the following: Continue Reading…
Summary: Musical Instrument Recognition Using Biologically Inspired Filtering of Temporal Dictionary Atoms
Musical Instrument Recognition Using Biologically Inspired Filtering of Temporal Dictionary Atoms
- Steven K. Tjoa and K. J. Ray Liu
- Int. Soc. Music Information Retrieval Conf., August 2010
- Download: Paper, Poster, BibTeX
@INPROCEEDINGS{tjoa2010ismir, title = "Musical Instrument Recognition Using Biologically Inspired Filtering of Temporal Dictionary Atoms", author = "Steven K. Tjoa and K. J. Ray Liu", booktitle = "Proc. Int. Soc. Music Information Retrieval Conf.", address = "Utrecht, Netherlands", year = "2010", month = aug, pages = "435--440" };
Most musical instrument recognition systems rely upon spectral information to classify sounds. Can temporal information improve classification accuracy even further? Continue Reading…