| Project/Area Number |
11680401
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Waseda University |
|---|
Principal Investigator |
MATSUYAMA Yasuo Waseda University, School of Science and Engineering, Professor (60125804)
|
|---|
| Project Period (FY) |
1999 – 2000
|
| Project Status |
Completed (Fiscal Year 2000)
|
| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2000: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 1999: ¥2,200,000 (Direct Cost: ¥2,200,000)
|
|---|
| Keywords | multimodal information processing / fast algorithm / α-EM algorithm / α-ICA algorithm / fMRI for brains / α-ICAアルゴリズム / 期待値最大化 / 高速ICA / 感性処理処理 |
|---|
| Research Abstract |
This project had the following two targets:
(1) Investigation of new algorithms which give optimal structures measured by probabilistic and statistical performance,
(2) Applications of the obtained algorithms to multimodal information sources which correspond to human signals.
The first year was used to create a new class of information processing methods. In this phase, the following results were obtained:
(a) A new class of expectation-maximization algorithm was found. This method was named the α-EM algorithm. The α-EM algorithm contains the traditional log-EM algorithm as a special case. The performance in speed outperforms the traditional log-EM method. This work received the Telecommunications Advancement Foundation Award.
(b) The above method using the extended logarithm was found to be applicable to the independent component analysis which separates unknown source signals. This new method was named the α-ICA.
In the last year, the above methods (a) and (b) were applied to multimodal information processing. Obtained results are
(i) Motion estimation from optical flows,
(ii) Estimation of living human brains' activities from functional magnetic images. It was found that there is an active area in the rear of the right hemisphere. This active area is asymmetric.
As is explained above, this research project was ended with lots of viable results.
|
