A study on classifier design by integration of the probabilistic evidences and it applications to image recognitions
Project/Area Number |
23500211
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Perception information processing/Intelligent robotics
|
Research Institution | Hiroshima University |
Principal Investigator |
Kurita Takio 広島大学, 工学(系)研究科(研究院), 教授 (10356941)
|
Co-Investigator(Kenkyū-buntansha) |
HIDAKA AKINORI 東京電機大学, 理工学部, 助教 (70553519)
|
Project Period (FY) |
2011-04-28 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | 判別カーネル / 事後確率 / カーネル学習 / 判別分析 / 画像認識 / 特徴抽出 / サポートベクターマシン |
Outline of Final Research Achievements |
It is known that the optimum nonlinear discriminant mapping can be defined as a linear combination of the Bayesian a posterior probabilities and the coefficients of the linear combination are obtained by solving the eigenvalue problem of the matrices defined by using the Bayesian a posterior probabilities. We derived the optimum kernel function (discriminant kernel) which were used in the optimum nonlinear discriminate mapping. It is also defined by using the posterior probabilities. For real applications, we have to estimate the posterior probabilities. In this study, we proposed several nonlinear discriminant analysis methods in which the probabilities were estimated by multinomial logistic regression or K nearest neighbors methods etc. To improve the generalization ability, the probabilities were estimated with regularization. Several applications of the image recognition or image retrieval were also tried.
|
Report
(6 results)
Research Products
(47 results)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
[Presentation] Soft Local Binary Patterns2015
Author(s)
Ran Li, Xuezhen Li, and Takio Kurita
Organizer
2015 Seventh International Conference of Soft Computing and Pattern Recognition
Place of Presentation
Fukuoka Japan
Year and Date
2015-11-13
Related Report
Int'l Joint Research
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
[Presentation] Self-training with unlabeld regions for NBI image recognition2012
Author(s)
Takahishi Takeda, Toru Tamaki*, Bisser Raytchev, Kazufumi Kaneda, Takio Kurita, Shigeto Yoshida, Yoshito Takemura, Keiichi Onji, Rie Miyaki, Shinji Tanaka
Organizer
21st International Conference on Pattern Recognition (ICPR 2012) November 11-15, 2012. Tsukuba, Japan
Place of Presentation
Tsukuba
Related Report
-
-
-
-
-
-