|
【学術論文】
[1] 川本一彦，“運動パラメータの直接サンプリングによる逐次カメラ運動推定”，電子情報通信学会論文誌D，Vol.J93-D No.8 pp.1461-1469, 2010.
[2] 西田，生駒，黒木，坂本，“パーティクルフィルタと適応ベクトル量子化による事後確率分布からの高次情報の特性値抽出”，電子情報通信学会論文誌，Vol.J94-D, No. 2, pp. 450-459, Feb. 2011，2011.
[3] T. Toyota, and H. Nobuhara, “Analysis and Visualization of Japanese Law Networks based on Granular Computing - Visual Law: Visualization System of Japanese Law -,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 2, pp. 150-154 (2010)
[4] K. Sawase, and H. Nobuhara, “Management System for Tagged Image Database using Lattice Structure, ” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 2, pp. 150-154 (2010)
[5] T. Tanabata, K. Sawase, H. Nobuhara, and B. Bede, “Interactive Data Mining for Large-Scale Image Databases Based on Formal Concept Analysis, ” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 3, pp. 303-308 (2010)
[6] H. Nobuhara, D. B. K. Trieu, T. Maruyama, and B. Bede, “Max-Plus Algebra Based Wavelet Transforms and Their FPGA Implementation for Image Coding, ” Information Sciences, Vol. 180, Issue 17, pp. 3232-3247 (2010)
【国際会議】
[1] K. Kawamoto, “A Particle Filter with Optimal Discrete Density for Hybrid State Estimation”, Proc. 10th International Symposium on Communications and Information Technologies, CD-ROM proceeding, 2010.
[2] K.Kawamoto, “On Particle Filtering for Hybrid State Space Models”, Proc. 5th Int'l Conf. on Soft Computing and Intelligent Systems and 11th Int'l Sympo. on advanced Intelligent Systems (SCIS & ISIS 2010), Dec.8-12, Okayama, JAPAN, pp.1553-1556, 2010.
[3] N.Ikoma, “Visual tracking of both hands of car driver by particle filter”, Proc. 5th Int'l Conf. on Soft Computing and Intelligent Systems and 11th Int'l Sympo. on advanced Intelligent Systems (SCIS & ISIS 2010), Dec.8-12, Okayama, JAPAN, pp.1547-1552, 2010.
[4] M. Mizumachi,“Statistical confidence measure for direction-of-arrival estimate,” Proc. 18th European Signal Processing Conference (EUSIPCO2010), pp. 666-670, Aug. 2010.
[5] M. Mizumachi,“Speech enhancement based on spatial and acoustical features in non-stationary noisy environments,” Proc. 17th International Congress on Sound and Vibration (ICSV17), CD-ROM (Paper ID: 267), July 2010.
[6] M. Mizumachi,“Self-organized approach to noise reduction based on acoustic
and spatial features,” Proc. INTERNOISE 2010, CD-ROM (Paper ID: 630), June 2010.
[7] M. Mizumachi,“Adaptive source separation based on reliability of spatial feature
using multi-channel acoustic observations,”Proc. AES 128th Convention in London, CD-ROM (Paper ID: 8133), May 2010.
[8] S. Kurogi, T. Nagi, and T. Nishida, "Range Image Registration Using Particle Filter and
Competitive Associative Nets," Proc. of Int'l Conf. on Neural Information Processing (ICONIP2010),
Part II, LNCS 6444, pp.352-359 (2010.11)
[9] Y. Nakajima, S. Kobashi, et.al, "A priori Knowledge Based Particle Filter for Estimating
3-D Pose position of Implanted Knee," Proc. 7th International Forum on Multimedia and Image Processing
in World Automation Congress(WAC2010), CD-ROM proceeding, 2010．
[10] Y. Nakajima, S. Kobashi, et.al, "Particle Filter Based Knee Kinematics Analysis with
2-D/3-D Image Registration," Proc. 7th International Forum on Multimedia and Image Processing
in World Automation Congress(WAC2010), CD-ROM proceeding, 2010．
[11] K. Kawamoto, A Data Assimilation Method for Estimating the Parameters of a Social Force Model for Pedestrian Motion Analysis, Proc. 7th International Forum on Multimedia and Image Processing
in World Automation Congress(WAC2010), CD-ROM proceeding, 2010．
[12] M. Mizumachi,“Confidence measure based on higher-order statistics for spatial feature in particle filtering,” Proc. 7th International Forum on Multimedia and Image Processin
|