AAAI Reports (1st day)
I am attending Association for the Advancement of Artificial Intelligence (AAAI) at San Francisco. The program is available on this page. I am reporting the brief summary of the sessions everyday. The detail discussion about each research may be written later.
The first session was presented by Rosalind Picard at MIT Media Lab(http://web.media.mit.edu/~picard/).
The introduction was started with the story about superiority of the ML algorithm in simple emotion estimations. He developed the application and the device for the estimation. (He has his own company!) In addition, he made the SDK for realtime emotion estimation available online as an open license program.
I enjoy this talk since I am interested in measuring my health data such as heart rate or number of steps. my health data is available here I aim to enhance my daily life or even my entire life by monitoring my health condition.
I chose to see this session because recommendation system is very familiar in my job. When it comes to matrix decomposition, he mentioned the idea of making use of global structure and the local structure separately for better performance.
He also mentioned the idea about the introduction of the true distribution to evaluating the risk (loss function) and the idea that the social network structure in SNS helps to resolve the problem so called “cold start” by formulating the problem as a lower rank estimation. Various kinds of methods to tackle “cold start” have been proposed, so I learned a lot from this talk.
This session was about the video processing (mainly classification). The following topics were introduced.
I enjoyed this talk since I am interested in the state-space model but never realized it can be applied to video processing in such ways.
The following topics were introduced.
I realized that the ML methods have been used in various kinds of applications.
I reported on the first day of AAAI!