学会発表

論文

  • Yukihiko Yamashita,“Gaussian Mixture Bandpass Filter Design for Narrow Passband Width by Using a FIR Recursive Filter,”IEICE Trans. on Fundamentals of Electronics, Communications and Computer Science, vol.E-A, no., pp.–, Oct, 2023.
  • 山下幸彦, 若原徹 , “画像領域マッチングのための目標領域特徴量による初期位置探索法,” 電子情報通信学会論文誌D, vol. J103-D, no. 4, pp.330-340, April, 2020.
  • C. N. Ochotorena and Y. Yamashita, “Anisotropic guided filtering,” IEEE Transactions on Image Processing, vol. 29,  pp.1397-1412, 2020. (DOI: 10.1109/TIP.2019.2941326 )
  • 土方基由, 稲垣厚至, 神田学, 山下幸彦, “熱画像地表面風速場推定法の航空機観測への応用,” 土木学会論文集B1(水工学),  vol. 73, no. 4, March, 2017.
  • Yukihiko Yamashita and Toru Wakahara, “Affine-transformation and 2D-projection invariant k-NN classification of handwritten characters via a new matching measure,” Pattern Recognition, vol. 52, pp.459-470, April, 2016.
    (DOI 10.1016/j.patcog.2015.10.002).
  • Yoshikazu Washizawa, Tatsuya Yokota, and Yukihiko Yamashita, “Multiple kernel learning for quadratically constrained MAP classification,” IEICE Transactions on Information and Systems (letter), vol. E79-D, no. 5, pp.1340–1344, May, 2014.
  • Toru Wakahara and Yukihiko Yamashita, “k-NN classification of handwritten characters via accelerated GAT correlation,” Pattern Recognition vol. 47, no. 3, pp.994-1001, March, 2014.
  • Tatsuya Yokota and Yukihiko Yamashita, “A Quadratically Constrained MAP Classifier Using the Mixture of Gaussians Mode ls as a Weight Function,”
    IEEE Trans. on Neural Networks and Learning Systems vol. 24, no. 7, pp.1127-1140, July, 2013.
  • Nopriadi, Yukihiko Yamashita, “A new approach to a maximum a posteriori-based kernel classification method,” Neural Networks, vol. 33, pp.247-256, Sept., 2012.
  • Hirokazu Yoshino, Chen Dong, Yoshikazu Washizawa, and Yukihiko Yamashita, “Kernel Wiener Filter and its Application to Pattern Recognition,” IEEE Trans. on Neural Networks, vol. 21, no. 11, pp.1719-1730, Nov., 2010.
  • Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, and Andrzej Cichocki, “Blind extraction of Global Signal form Multi-Channel Noisy Observations,”IEEE Trans. on Neural Networks, vol. 21, no. 9, pp.1472-1481, Sept., 2010.
  • Nasharuddin Zainal, Toshihisa Tanaka, and Yukihiko Yamashita,”Moving picture coding by lapped transform and edge adaptive deblocking filter with zero pruning SPIHT,”IEICE Trans. on Information and Systems, vol. E93-D, no. 6, pp.1608-1617, June, 2010.
  • Joken Son, Naoya Inoue, and Yukihiko Yamashita, “Geometrically local isotropic independence and numerical analysis of the Mahalanobis metric in vector space,”Pattern Recognition Letters, vol. 31, issue 8, pp.709-716, June, 2010.
  • Yoshikazu Washizawa and Yukihiko Yamashita,”Kernel Projection Classifiers with Suppressing Features of Other Classes,”Neural Computation, vol. 18, no. 8, pp.1932-1950, Aug., 2006.
  • Toshihisa Tanaka, Yasutaka Hirasawa, and Yukihiko Yamashita, “Variable-length lapped transform with combination of multiple synthesis filter banks for image coding,” IEEE Trans. Image Processing, vol. 15, no. 1, pp. 81-88, Jan., 2006
  • Toshihisa Tanaka and Yukihiko Yamashita, “The generalized lapped pseudo-biorthogonal transform: Oversampled linear-phase perfect reconstruction filter banks with lattice structures,”IEEE Trans. on Signal Processing, vol.52, no.2, pp.434-446, Feb., 2004.
  • Toshihisa Tanaka, Takateru Saito, and Yukihiko Yamashita, “A time-varying subband transform with projection-based reconstruction,”IEICE Trans. Fundamentals: Special section on digital signal processing, vol. E86-A, no. 8, pp.1935-1941, Aug., 2003.
  • Toshihisa Tanaka and Yukihiko Yamashita, “A biorthogonal transform with overlapping and non-overlapping basis functions for image coding,”IEEE Trans. on Signal Processing, vol. 51, no. 3, pp.732-743, March, 2003.
  • Toshihisa Tanaka and Yukihiko Yamashita, “An adaptive lapped biorthogonal transform and its application in orientation adaptive image coding,”Signal Processing, vol. 82, no. 11, pp.1633-1647, Nov., 2002.
  • Yukihiko Yamashita, “Optimum sampling vectors for Wiener filter noise reduction,”
    IEEE Trans. on Signal Processing, vol. 50, no. 1, pp.58-68, Jan., 2002.
    Toshihisa Tanaka and Yukihiko Yamashita, “Adaptive lapped transforms with overlapping basis functions for image coding,” J. Electronic Imaging, vol. 10, no. 3, pp.706-719, July, 2001.
  • Toshihisa Tanaka and Yukihiko Yamashita, “Vector-embedded Karhunen-Lo\`eve transform and its application in orientation adaptive coding of images,”IEICE Trans. on Fundamentals of Electronics, Communications and Computer Science, vol. E83-A, no. 6, pp.1257-1266, June, 2000.
  • Akira Hirabayashi, Hidemitsu Ogawa, Yukihiko Yamashita, “Admissibility of memorization learning with restpect to projection learning in the presence of noise,”
    IEICE Trans. on Information and Systems, vol. E82-D, no. 2, pp.488-496, Feb., 1999.
  • Yukihiko Yamashita, “New networks for linear programming,”IEICE Trans. on Fundamentals of Electronics, Communications and Computer Science, vol. E81-A, no. 5, pp.931-939, May, 1998.
  • Isao Yamada, Nobuhiko. Ogura, Yukihiko Yamashita, and Kohichi Sakaniwa, “Quadratic optimization of fixed points of nonexpansive mappings in Hilbert space,” Numeral Functional Analysis and Optimization, vol. 19, nos. 1\&2, pp.165-190, March, 1998.
  • 山下幸彦, “ウィーナーフィルタによって雑音を除去する場合の最適標本化,”電子情報通信学会論文誌(A), vol. J81-A, no. 2, pp.229-236, Feb., 1998.
  • Mang Li, Hidemitsu Ogawa, Yukihiko Yamashita, “Paley-Wiener multiresolution analysis and Paley-Wiener wavelet frame,” IEICE Trans. on Fundamentals of Electronics, Communications and Computer Science, vol. E80-A, no. 12, pp.2555-2561, Dec., 1997.
  • 池野靖行, 山下幸彦, 小川英光, “相対KL変換法によるパターン認識,”電子情報通信学会論文誌(D-II), vol. J80-D-II, no. 3, pp.541-547, Feb., 1997.
  • Yukihiko Yamashita and Hidemitsu Ogawa, “Relative Karhunen-Lo\`eve transform,”
    IEEE Trans. on Signal Processing, vol. 44, no. 2, pp.371-378, Feb., 1996.
    Dawei. Liu, Yukihiko Yamashita, Hidemitsu Ogawa, “Pattern recognition in the presence of noise,” Pattern Recognition, vol. 28, no. 7, pp.989-995, July, 1995.
  • 小出裕司, 山下幸彦, 小川英光, “信号・画像推定のための射影フィルタ族の統一理論,”電子情報通信学会論文誌(D-II), vol. J77-D-II, no. 7, pp.1293-1301, July, 1994.
  • 山下幸彦, 小川英光, “各種最適画像復元フィルタの相互関係,”電子情報通信学会論文誌(D-II), vol. J75-D-II, no. 5, pp.890-898, May, 1992.
  • 山下幸彦, 小川英光, “最適画像復元フィルタと一般逆,”電子情報通信学会論文誌(D-II), vol. J75-D-II, no. 5, pp.883-889, May, 1992.
  • 山下幸彦, 小川英光, “画像空間の位相と最適画像復元フィルタ,”電子情報通信学会論文誌(D-II), vol. J75-D-II, no. 2, pp.306-313, Feb., 1992.
  • 山下幸彦, 小川英光, “平均射影フィルタの諸性質,”
    電子情報通信学会論文誌(D-II), vol. J74-D-II, no. 2, pp.142-149, Feb., 1991.
  • 山下幸彦, 小川英光, “平均射影フィルタによる画像復元,”電子情報通信学会論文誌(D-II), vol. J74-D-II, no. 2, pp.150-157, Feb., 1991.
  • 山下幸彦,  荻原徳男, “JT-60の周辺プラズマ監視システム,”核融合研究, vol. 59別冊, pp.289-302, March, 1988.
  • 山下幸彦, “ウィーナフィルタ法によるアーベル変換,”JAERI-M, vol. 87-206, 1987.

国際会議

  • Toru Wakahara and Yukihiko Yamashita, “Stabilized Calculation of Gaussian Smoothing and Its Differentials Using Attenuated Sliding Fourier Transform,” Proceedings of the 2020 25th International Conference on Pattern Recognition (ICPR), pp, 1128-1135, Milan, Italy (online), Jan.~10-15, 2021. (DOI: 10.1109/ICPR48806.2021.9413054)
  • Toru Wakahara and Yukihiko Yamashita, “Image Registration Using 2D Projection Transformation Invariant GPT Correlation,” Proceedings of the Joint 2019 International Workshop on Advanced Image Technology \& International Forum on Medical Imaging in Asia, Singapore, Jan.~ 6–9, pp.110493K-1–6, 2019.
    (DOI: 10.1117/12.2517185)
  • Carlo Noel Ochotorena, Yukihiko Yamashita, “Multi-scale structure-preserving image filtering,” 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), pp.1–6, Luton, UK, 16-18 Oct.~2017. (DOI: 10.1109/MMSP.2017.8122290)
  • Shizhi Zhang,Toru Wakahara,Yukihiko Yamashita, “Image matching using GPT correlation associated with simplified HOG patterns,” 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), pp.1-6, Montreal, QC, Canada, 28 Nov.-1 Dec.~2017. (DOI: 10.1109/IPTA.2017.8310122)
  • Shizhi Zhang, Toru Wakahara and Yukihiko Yamashita, “Theoretical Criterion for Image Matching Using GPT Correlation,” Proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016), vol. 1, pp. 544-549, Cancun, Mexico, Dec. 4–8, 2016.
  • Toru Wakahara and Yukihiko Yamashita, “Enhanced GPT correlation for 2D projection transformation invariant template matching,” in “Pattern Recognition: 37th German Conference, Proceedings”, pp. 435-445, Aachen, Cermany, Oct. 7–10, 2015 (DOI 10.1007/978-3-319-24947-6_36).
  • Toru Wakahara and Yukihiko Yamashita, “GPT correlation for 2D projection transformation invariant template matching,” Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), pp.3810–3815, Stockholm, Sweden, Aug. 24–28, 2014.
  • Yukihiko Yamashita and Toru Wakahara, “k-NN Classification of handwritten characters using a new distortion-tolerant matching measure,” Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014),
    pp.262–267, Stockholm, Sweden, Aug. 24–28, 2014.
  • Tatsuya Yokota, Toru Wakahara and Yukihiko Yamashita, “Heteroscedastic Gaussian Based Correction term for Fisher Discriminant Analysis and Its Kernel Extension,” Proceedings of the International Joint Conference on Neural Networks,
    no. 1188, Dallas, USA, Aug. 4–9, 2013.
  • Kiung Park and Yukihiko Yamashita, “Image compression by using vector quantization and vector-embedded Karhunen-Lo\`{e}ve Transform,”
    Proceedings of the 28th International Technical Conference on Circuit/Systems, Computers and Communications, (USB), pp.635–638, Yeosu, Korea, June 30–July 3, 2013.
  • Tatsuya Yokota, Andrzej Cichocki, and Yukihiko Yamashita, “Linked PARAFAC/CP tensor decomposition and its fast implementation for group tensor analysis,” Tingwen Huang et al. (Eds.), Proceedings of the 19th International Conference on Neural Information Processing (ICONIP 2012), vol. LNCS 7665, pp.84-91, Springer-Verlag Berlin Heidelberg, Nov. 2012.
  • Toru Wakahara and Yukihiko Yamashita,  “Acceleration of GAT correlation for distortion tolerant image matching,” Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012), pp.746-749, Tsukuba, Japan, Nov. 11-15, 2012.
  • Naoya Inoue and Yukihiko Yamashita, Simultaneous learning of localized multiple kernels and classifier with weighted regularization, Structural, Syntactic and Statistical Pattern Recognition, G.L. Gimel’ farb et al. (Eds.), (2012 Proceedings of Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012),  Nov. 7-9, Hiroshima, Japan), pp.354-362, Springer Berlin Heidelberg, 2012.
  • Toru Wakahara and Yukihiko Yamashita, “k-NN Classification of Handwritten Characters via Accelerated GAT Correlation,” Proceedings of he 2012 International Conference on Frontiers in Handwriting Recognition (ICFHR-2012), pp.143-148, Bari, Italy, Sept. 18-20, 2012. (DOI 10.1109/ICFHR.2012.225)
  • Nopriadi Nopriadi and Yukihiko Yamashita, “Extended Maximum a Posteriori-based Kernel Classification Trained by Linear Programming (MAPLP) with Adjustment Parameter (MAPLP-P) and Difference-type Objective Function (MAPLP-D),”
    Proceedings of 18th International Joint Conference on Neural Networks, pp.1-8, Brisbane, Australia, June 10-15, 2012. (DOI 10.1109/IJCNN.2012.6252715)
  • Tatsuya Yokota and Yukihiko Yamashita, “Support Vector Machines with Weighted Regularization,”Proceedings of 18th International Conference on Neural Information Processing, pp.471-480, Shanghai, China, Nov. 14-17, 2011.
  • Toru Wakahara and Yukihiko Yamashita, “Affine-Invariant Recognition of Handwritten Characters via Accelerated KL Divergence Minimization,” Proceddings of 2011 International Conference on Document Analysis and Recognition,pp.1095-1099, Beijing, China, Sept. 18-21, 2011.
  • Tatsuya Yokota and Yukihiko Yamashita, “Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifier,”Proceedings of 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, pp. 1-15, New York, USA, Aug. 30-Sept. 3, 2011.
  • Yukihiko Yamashita and Toru Wakahara,”Subspace methods with globally/locally weighted correlation matrix,”Proc. of 20th International Conference on Pattern Recognition (ICPR2010),CD-ROM, Istanbul, Turkey, Aug. 23-26 2010.
  • Toru Wakahara and Yukihiko Yamashita, “Multi-template GAT/PAT correlation for character recognition with a limited quantity of data,” Proc. of 20th International Conference on Pattern Recognition (ICPR2010),CD-ROM, Istanbul, Turkey, Aug. 23-26 2010.
  • Nopriadi and Yukihiko Yamashita, “Maximum a posteriori based kernel classifier trained by linear programming,” Structural, Syntactic and Statistical Pattern Recognition Dit-Yan Yeung, James T.Kwok, Ana Fred, Fabio Roli, and Dick de Ridder (Eds.), (Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2010) and Statistical Techniques in Pattern Recognition (SPR 2010),  August 18-20, 2010 Proceedings), pp.493-502, Springer Berlin Heidelberg, 2010.
  • Yoshikazu Washizawa, Yukihiko Yamashita, and Andrzej Cichocki, “Blind source extraction using spatio-temporal inverse filter,” Proc. of IEEE International Symposium on Circuits and Systems 2009 (ISCAS 2009),pp.2786-2789, Taipei, Taiwan, May 24-27, 2009.
  • Nasharuddin Zainal and Yukihiko Yamashita, “Moving picture coding by subband transformation and edge adaptive deblocking filter,” Proc. of 2009 RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.451-454, Honolulu, USA, March 1-3, 2009.
  • Son Joken, Naoya Inoue and Yukihiko Yamashita, “Numerical analysis of Mahalanobis metric in vector space,” Proc. of 19th International Conference on Pattern Recognition (ICPR2008), CD-ROM, Tampa, USA, Dec. 8-11 2008.
  • Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka and Andrzej Cichocki,”Blind global source extraction from noisy observations,” 2008 RISP international workshop on nonlinear circuits and signal processing, 2008, Gold coast, Australia, Mar. 5, 2008.
  • Hirokazu Yoshino and Yukihiko Yamashita, “Pattern recognition by kernel Wiener filter,” Proc. of Signal Processing, Pattern Recognition, and Applications (SPPRA 2008), pp.7-12, Innsbruck, Austria, Feb 13-16, 2008.
  • Nasharuddine Zainal, Takashi Ohta, and Yukihiko Yamashita, “Moving picture coding by wavelet transform and edge adaptive deblocking filter,” Proc. of the 2007 International Conference on Image Processing, Computer Vision, \& Pattern Recognition, Las Vegas, USA, June 25-28, 2007.
  • Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka and Andrzej Cichocki, “Extraction of steady state visually evoked potential signal and estimation of distribution map from EEG data,” Proc. of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, pp. 5449-5451, Aug. 23-26, 2007.
  • Naoya Koide and Yukihiko Yamashita,”Asymmetric kernel method and its application to Fisher’s discriminant,” Proc. of 18th International Conference on Pattern Recognition (ICPR2006),Vol. 2, pp.820-824, HongKong China, Aug. 20-24, 2006.
  • Yoshikazu Washizawa and Yukihiko Yamashita, “Non-linear Wiener filter in reproducing kernel Hilbert space,” Proc. of 18th International Conference on Pattern Recognition (ICPR2006), Vol. 1, pp.967-970, HongKong China, 20-24 Aug. 2006.
  • Yukihiko Yamashita, Mariko Numakami, and Naoya Inoue, “Maxwell normal distribution in a Manifold and Mahalanobis metric,” Structural, Syntactic and Statistical Pattern Recognition Dit-Yan Yeung, James T.Kwok, Ana Fred, Fabio Roli, and Dick de Ridder (Eds.), (Joint IAPR International Workshops SSPR2006 and SPR2006, Hong Kong, China, August 17-19, 2006 Proceedings), pp.604-612, Springer Berlin Heidelberg, 2006.
  • Yoshikazu Washizawa, Yukihiko Yamashita, “Kernel Sample Space Projection Classifier for Pattern Recognition,” Proc. of 17th International Conference on Pattern Recognition (ICPR’04), Vol. 2, pp. 435-438, Cambridge UK, August 23-26, 2004.
  • Yoshikazu Washizawa, Kenji Hikida, Toshihisa Tanaka, and Yukihiko Yamashita, “Kernel relative component analysis for pattern recognition,” Ana Fred, Terry Caelli, Robert P.W. Duin, Aur\'{e}lio Campilho, Dick de Ridder (Eds.), Structural, Syntactic and Statistical Pattern Recognition (Joint IAPR International Workshops SSPR2004 and SPR2004,  Lisbon, Portugal, August 18-20, 2004 Proceedings), pp.1105-1113, Springer Berlin Heidelberg, 2004.
  • Toshihisa Tanaka, Takateru Saito, and Yukihiko Yamashita, “Projection-based time-varying subband image coding,” Proc. of 2003 IEEE International Conference on Image Processing (ICIP 2003), vol. III, pp. 201-204, Barcelona, Spain, 14-17, Sept. 2003.
  • Toshihisa Tanaka, Yasutaka Hirasawa, and Yukihiko Yamashita, “A novel class of variable-length lapped transform for image coding,” Proc. of 2003 IEEE International Conference on Image Processing (ICIP 2003), vol. I, pp.649-652, Barcelona, Spain, 14-17, Sept. 2003.
  • Toshihisa Tanaka and Yukihiko Yamashita, “Noise robust oversampled linear phase perfect reconstruction filter bank with a lattice structure,” Proc. of 2002 IEEE International Conference on Image Processing (ICIP 2002), CD-ROM, Rochester, NY, USA, Sept. 22-25, 2002.
  • Toshihisa Tanaka and Yukihiko Yamashita, “The generalized lapped pseudo-biorthogonal transform,” Proc. of 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2002), vol. II, pp. 1273-1276, Orlando, May 13-17, 2002.
  • Toshihisa Tanaka and Yukihiko Yamashita, “The orientation adaptive lapped biorthogonal transform for efficient image coding,” Proc. of 2001 IEEE International Conference on Image Processing (ICIP 2001), vol. III, pp. 214-217, Thessaloniki, Greece, Oct. 7-10, 2001.
  • Toshihisa Tanaka and Yukihiko Yamashita “A biorthogonal transform with overlapping and non-overlapping basis functions for image coding,” Proc. of 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2001), Salt Lake City, USA, vol. III, pp.1705-1708, May 7-11, 2001.
  • Kenichi Maruko and Yukihiko Yamashita, “BISC (Bus Instruction Set Computer) architecture and BISC-1,” Proc. of 2000 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2000), vol. 2 , pp. 935-938, Tokushima, Japan, July 9-12, 2001.
  • Toshihisa Tanaka and Yukihiko Yamashita, “The orientation adaptive lapped orthogonal transform for image coding,” Proc. of 2000 IEEE International Conference on Image Processing (ICIP 2000), vol. III, pp. 829-832, Vancouver, Canada, Sept. 10-13, 2000.
  • Toshihisa Tanaka and Yukihiko Yamashita, “An iterative deblocking method using 2-D directional FIR filters,” Proc. of 2000 International Technical Conference on Circuits/Systems, Computers, and Communications vol. 1, pp. 46-49, Pusan, July 11-13, 2000.
  • Toshihisa Tanaka and Yukihiko Yamashita, “Image Coding using vector-embedded Karhunen-Lo\`eve transform,” Proc. of 1999 IEEE International Conference on Image Processing, Kobe, Japan, vol. 2, pp. 482-486, Oct. 24-28, 1999.
  • Ryoichi Abe, Hirofumi Isobe, and Yukihiko Yamashita, “Simulator in a virtual space for autonomous robot and vehicle,” Proc. of 1999 IEEE International Conference on System, Man, and Cybernetics, vol. 6, Tokyo, Japan, pp.625-630, Oct. 12-15, 1999.
  • Yasuyuki Ikeno, Yukihiko Yamashita, and Hidemitsu Ogawa, “Relative Karhunen-Lo\`eve transform method for pattern recognition,” Proc. of the 14th International Conference on Pattern Recognition, vol. 2, Brisben, Austraria, pp.1031-1033, Aug. 25-29, 1998.
  • Yukihiko Yamashita and Hidemitsu Ogawa, “Relative Karhunen-Lo\`eve transform and an optimum sampling,” Proc. of the 4th International Conference on Optimization: Techniques and Applications, vol. 2, Perth, Austraria, pp.1009-1016, July. 1-3, 1998.
  • Isao Yamada, Nobuhiko. Ogura, Yukihiko Yamashita and Kohichi Sakaniwa, “An Optimal fixed point theorm for nonexpansive operator and its application to set theoritic singal estimation – Optimization with inconsistent convex constraints – ,” Proc. of 1996 International Symposium on Information Theory and its Application, pp.736-742, Oct. 1997.
  • Yukihiko Yamashita, “Image compression by Weighted Karhunen-Lo\`eve operator,” Proc. of the 13th International Conference on Pattern Recognition, vol. B, Vienna, Autria, pp.636-640, Aug. 25-29, 1996.
  • Yukihiko Yamashita and Hidemitsu Ogawa, “Relative Karhunen-Lo\`eve operator,” Proc. of the 12th International Conference on Pattern Recognition, vol. 3, Jerusalem, Israel, pp.168-170, Oct. 9-13, 1994.
  • Yukihiko Yamashita, “Methods of convex projections with optimum condition,” The 2nd International Symposium on Inverse Problems in Engineering Sciences, Oosaka, pp.C43-C44, July 27-30, 1994.

研究会

  • 加藤由香里, 山下幸彦, 畠山 久, 大石敏也, “理系大学における英語講義法FD研修の実施 -研修内容の選択と伝達-,”日本教育メディア学会研究会論集, vol. 54, pp.7–14, March 18, 2023.
  • 山下幸彦, 若原徹, “領域画像マッチングのための初期探索法,” 電子情報通信学会技術研究報告, vol.118, no.219, PRMU2018–30, pp.119–124, Sept. 21, 2018.
  • 若原徹, 山下幸彦, “GPT相関法による2D射影変換に不変な画像マッチング,” 電子情報通信学会技術研究報告vol.113, no.346, PRMU2013-76, pp.49-54, Dec. 2013.
  • 鷲沢嘉一, 横田達也, 山下幸彦, “多カーネルを用いた二次制約MAPによるパラメータレスの識別器の実現,” Proceedings of 28th Signal processing symposium, pp.143–148, Nov. 2013.
  • 金柱源, 山下幸彦, “ハミング距離を用いたクラスタリングによる画像分類の高速化,” 第15回画像の認識・理解シンポジウム論文集, IS2-75, August 6-8, 2012.
  • 横田達也, 山下幸彦, “2クラス識別のためのMAP推定に基づく二次制約評価基準,” 信学技報, vol.110, no.265, IBISML2010-85, pp.187-194, Nov. 2010.
  • 井之上直矢, 山下幸彦, “標本点ごとにカーネルパラメータを学習するサポートベクターマシン,” 信学技報, vol.110, no.265, IBISML2010-95, pp.265-270, Nov. 2010.
    李佳平, 若原徹, 山下幸彦, “スケール不変特徴点を用いた画像の局所的アフィン変換に頑健な対応点探索法,” 第13回画像の認識・理解シンポジウム論文集, IS3-45, July, 27-29, 2010.
  • 若原徹, 山下幸彦, “KLダイバージェンス最小化によるアフィン不変画像マッチング,” 第13回画像の認識・理解シンポジウム論文集, IS1-74, July, 27-29, 2010.
  • 井之上直矢, 山下幸彦, “部分空間SVMのための交差部分空間学,” 情報論的学習理論テクニカルレポート2009, PO075, Oct., 19-21, 2009.
  • 山下幸彦,”重み付き相関行列による局所部分空間法,” 部分空間法研究会2008, pp.42-48, 軽井沢, July 28, 2008.
  • Nasharuddin Zainal and Yukihiko Yamashita, “Improvement of moving picture coding by wavelet transform and edge adaptive deblocking filter,” 第22回画像符号化シンポジウム(PCSJ 07)予稿集, 修善寺, 日本, pp. 83-84, (Oct. 2007)
  • 吉野紘和, 山下幸彦, “カーネルウィーナフィルタによるパターン認識,” 第10回情報論的学習理論ワークショップ(IBIS2007), pp.127-132, Nov., 5-7, 2007.
  • 孫汝軒, 井之上直矢, 山下幸彦, “ベクトル空間上のMahalanobis計量のNewton-Raphson法による数値解析,” 第10回情報論的学習理論ワークショップ(IBIS2007), pp.97-102, Nov., 5-7, 2007.
  • Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka and Andrzej Cichocki, “Extraction of the global signal from multi-channel noisy signals and its application in EEG processing,” 電子情報通信学会技術研究報告,SIP2007-21, pp. 61-66, May, 2007.
  • 小出直矢,山下幸彦, “非対称カーネルによるFisher識別器,” 電子情報通信学会技術研究報告, NC2005-48, pp.13-18, Oct., 2005.
  • 沼上真理子,山下幸彦, “ベクトル空間上のMahalanobis計量,” 第7回情報論的学習理論ワークショップ(IBIS2004), pp.203-205, Nov., 2004.
  • 柳森,山下幸彦, “カーネル理論の拡張と非対称カーネルサポートベクタマシン,” 第7回情報論的学習理論ワークショップ(IBIS2004), pp.191-198, Nov., 2004.
  • 水上洋祐,川又政征,山下幸彦, “リアクタンス周波数変換に対する連続時間システムの2次モード不変性,” 電子情報通信学会技術研究報告, CAS2003-97, pp.7-12, Jan., 2004.
  • 水上洋祐,川又政征,山下幸彦,”分母分離型2次元連続時間システムのグラミアン,” 電子情報通信学会技術研究報告, DSP2003-157, pp.49-54, Jan., 2004.
  • 鷲沢嘉一,山下幸彦, “カーネル標本空間射影法によるパターン認識,” 第6回情報論的学習理論ワークショップ(IBIS2003), pp.149-154, Dec., 2003.
  • 鷲沢嘉一,山下幸彦, “カーネルウィーナーフィルタ,” 第6回情報論的学習理論ワークショップ(IBIS2003), pp.143-148, Dec., 2003.
  • 山下幸彦,三林誠, “機能の追加・変更が容易な高速プロセッサアーキテクチャ – PACCS(PAcked Code Computing System)-,”電子情報通信学会技術研究報告, CPSY2003-1, pp.1-6, April, 2003.
  • 水上洋祐,川又政征,山下幸彦, “連続時間システムの2次モードのリアクタンス関数による周波数変換に対する不変性,” 電子情報通信学会技術研究報告, CAS2002-146, pp.11-16, March, 2003.
  • 平澤康孝,田中聡久,山下幸彦, “画像符号化のための繰り返し法を用いた不等長重複変換に関する検討,” 第17回画像符号化シンポジウム, pp. 101-102, Nov., 2002.
  • 疋田謙司,山下幸彦, “カーネル相対KL変換法によるパターン認識,” 電子情報通信学会技術研究報告, PRMU2001-290, pp.145-152, March, 2002.
  • 田中聡久,山下幸彦, “画像符号化のための適応的重複変換,” 第16回画像符号化シンポジウム, pp. 97-98, Nov., 2001.
  • Toshihisa Tanaka and Yukihiko Yamashita, “Generalized lapped pseudo biorthogonal transforms,” 第16回ディジタル信号処理シンポジウム論文集, pp. 289-294, Nov., 2001.
  • Toshihisa Tanaka and Yukihiko Yamashita, “A lapped biorthogonal transform adapted for local directionality of images and its Applications in image coding,” Technical Report of IEICE (電子情報通信学会技術研究報告), IE2001-1, pp.1-8, April, 2001.
  • 水谷竜也,吉田 亘,新居英明,山下幸彦, “BISC (Bus Instruction Set Computer) 型プロセッサ BISC-2,” 情報処理学会研究報告, 2001-ARC-142/2001-HPC-85, pp.1-6, March, 2001.
  • 山下幸彦, “多様体上の正規分布に関する考察,” 電子情報通信学会技術研究報告, PRMU2000-174, pp.103-110, Jan., 2001.
  • Toshihisa Tanaka and Yukihiko Yamashita, “A lapped biorthogonal transform with the optimal non-overlapping basis functions,” Technical Report of IEICE (電子情報通信学会技術研究報告), IE2000-102, pp. 31-36, Dec., 2000.
  • 吉田亘,水谷竜也,山下幸彦, “BISC(BUS Instruction Set Computer)型プロセッサの評価と改良,” 電子情報通信学会技術研究報告, CPSY2000-6, pp.39-46, April, 2000.
  • Toshihisa Tanaka and Yukihiko Yamashita, “A lapped orthogonal transform adapted for local directionality and its applications in image coding,” Technical Report of IEICE (電子情報通信学会技術研究報告), IE2000-6, pp.37-42, April, 2000.
  • 橋本謙太郎,田中聡久,山下幸彦, “方向性適応画像符号化のためのブロック歪み低減法,” 電子情報通信学会技術研究報告, IE2000-6, pp.31-36, April, 2000.
  • 磯部博史,阿部良一, 山下幸彦, “ロボットのためのバーチャルリアリティ,” 情報処理学会技術研究報告, CADCG95-1, pp.1-6, April, 1999.
  • 丸子健一,山下幸彦, “BUS Instruction Set Computer型プロセッサBISC-1,” 電子情報通信学会技術研究報告, CPSY98-22, pp.85-92, April, 1998.
  • Yukihiko Yamashita, “New Networks for Linear Programming,” Technical Report of IEICE (電子情報通信学会技術研究報告), NC98-111, pp.79-86, March, 1998.
  • 高梨賢一,阿部良一,山下幸彦, “画像理解のための4次元空間シミュレータ,” 電子情報通信学会技術研究報告, PRMU98-277, pp.89-96, March, 1998.
  • Isao Yamada, Nobuhiko Ogura, Yukihiko Yamashita and Kohichi Sakaniwa, “An Optimal fixed point theorem for nonexpansive operator and its application to set theoritic singal estimation,” Technical Report of IEICE (電子情報通信学会技術研究報告), DSP96-106, pp.63-70 ,Dec, 1996.
  • 山下幸彦, “BISC型多目的プロセッサ,” 電子情報通信学会技術研究報告, CPSY96-70, pp.9-14, Oct., 1996.
  • 山下幸彦, “重み付きKL変換法による画像圧縮,” 電子情報通信学会技術研究報告, PRU95-234, pp.137-142, March, 1996.
  • 池野靖行, 山下幸彦, 小川英光, “相対KL変換法によるパターン認識,” 電子情報通信学会技術研究報告, PRU95-218, pp.17-22, March, 1996.
  • Dawei Liu, Yukihiko Yamashita, and Hidemitsu Ogawa, “Recognition of handwritten characters in the presence of noise,” 電子情報通信学会技術研究報告, PRU92-168, pp.95-101, March, 1993.
  • Yukihiko Yamashita, Hidemitsu Ogawa, “Relative Karhunen-Lo\`eve operator,” 電子情報通信学会技術研究報告, PRU92-50, pp.39-43, Dec., 1992.
  • 山下幸彦, 小川英光, “最適画像復元フィルタと一般逆,” テレビジョン学会技術報告, vol. 15, no. 29, pp.25-30, May, 1991.
  • 山下幸彦, 小川英光, “画像空間の位相と最適画像復元フィルタ,” 電子情報通信学会技術研究報告, PRU90-85, pp.31-38, Nov, 1990.
  • 山下幸彦, 小川英光, “変形射影フィルタによる画像復元,” 電子通信学会技術研究報告, PRL84-29, pp.55-64, July, 1984.

全国大会

  • 山下幸彦,若原徹,”スライディングフーリエ変換によるガウス平滑化のGPU実装”, no.A-8-10, 東京都, March 15, 2022.
  • 山下幸彦, “IIRフィルタを使った画像の近似ガウス平滑化,” 2018年電子情報通信学会総合大会情報・システム講演論文集, no.D-12-43, p.82, 東京都, March 22, 2019.
  • Shizhi Zhang, Toru Wakahara, and Yukihiko Yamashita, “GAT correlation matching with a factor of norm normalization,” 2016年電子情報通信学会総合大会情報・システム講演論文集,no. D-12-3, p.72, 福岡市,March 15-18, 2016.
  • 鷲沢 嘉一,山下 幸彦,田中 聡久,Andrzej Cichocki,”雑音を含む観測信号からのブラインド信号抽出と脳信号処理への応用,” 2008年電子情報通信学会総合大会講演論文集, pp.S40-S41, March, 2008.
  • 朴成漢,山下幸彦, “可変カーネル標本空間射影法によるパターン認識,” 2006年電子情報通信学会総合大会講演論文集, vol. 7, no. D-12-91, p.223, March, 2006.
  • 鷲沢嘉一,疋田謙司,田中聡久,山下幸彦, “カーネル相対主成分分析による多クラスパターン認識,” 第二回情報科学技術フォーラム情報レターズ,pp.207-208, Sept, 2003 (査読付き).
  • 平澤康孝,田中聡久,山下幸彦, “繰り返し法を用いた不等長重複変換による画像符号化,” 情報科学技術フォーラム一般講演論文集, vol. 3, pp.367-368, Sept, 2002.
  • 斎藤高輝,田中聡久,山下幸彦, “凸射影法を用いた適応サブバンド画像符号化,” 情報科学技術フォーラム一般講演論文集, vol. 3, pp.365-366, Sept, 2002.
  • 鷲沢嘉一,疋田謙司,田中聡久,山下幸彦, “パターン認識のための相対KL変換法の高精度化,” 情報科学技術フォーラム一般講演論文集, vol. 3, pp.95-96, Sept, 2002.
  • 田中聡久,山下幸彦, “雑音に頑健な一般化重複疑似双直交変換,” 2002年電子情報通信学会基礎・境界ソサイエティ大会論文集, Sept, 2002.
  • 山下幸彦, “マックスウェル分布の特徴づけを拡張した多様体上の正規分布に関する考察,” 2002年度統計関連学会連合大会講演論文集, pp.136-137, 2002-09.
  • 斎藤高輝,田中聡久,山下幸彦, “交互射影法に基づく適応サブバンド変換による画像符号化,” 2002年電子情報通信学会総合大会講演論文集, vol. 7, no. D-12-91, p. , March, 2002.
  • 田中聡久,山下幸彦, “重複関数を持った方向性適応変換による画像符号化,” 情報・システムソサイエティ大会講演論文週集, p.131, Oct., 2000.
  • 田中聡久,山下幸彦, “方向性適応フィルタによるブロック歪みの低減,” 2000年電子情報通信学会総合大会論文集, vol. 7, p.27, March, 2000.
  • 山下幸彦,阿部良一, 磯部博史, “ロボットのためのバーチャルリアリティ,” 日本バーチャルリアリティ学会第4回大会論文集, pp.273-276, Sept., 1999.
  • 池野靖行, 山下幸彦, 小川英光, “相対KL変換法によるパターン認識,” 平成8年電気学会電子・情報・システム部門大会講演論文集, p.277-278, Sept., 1996.
  • 池野靖行, 山下幸彦, 小川英光, “相対KL変換法によるパターン認識,” 1996年電子情報通信学会総合大会講演論文集, vol. 7, no. D-487, p.176, March, 1996.
  • 馬場秋継, 山下幸彦, 小川英光, “最大差型部分空間法によるパターン認識,” 1996年電子情報通信学会総合大会, vol. 7, no. D-486, p.175, March, 1996.
  • 小出裕司, 山下幸彦, 小川英光, “信号・画像推定のための射影フィルタ族の作用素方程式について,” 1994年電子情報通信学会春季全国大会講演論文集, vol. 7, no. D-440, p.176, March, 1994.
  • 山下幸彦, 谷口裕二, 小川英光, “相対K-L部分空間,” 1992年電子情報通信学会春季全国大会講演論文集, vol. 7, no. D-521, p.263, March, 1992.
  • 山下幸彦, 小川英光, “画像空間の位相と最適復元フィルタ,” 1991年電子情報通信学会春季全国大会講演論文集, vol. 7, no. D-450, p.162, March, 1991.
  • 山下幸彦, 小川英光, “平均射影フィルタによる画像復元,” 1990年電子情報通信学会春季全国大会講演論文集, vol. 7, no. D-472, p.179, March, 1990.

解説記事

  • 山下幸彦, “知っておきたいキーワード 第72回 算術符号化,” 映像情報メディア学会誌, vol. 66, no. 1, pp.65-67, Jan. 2012.
  • 山下幸彦, “ロボットのためのバーチャルリアリティ,” 画像ラボ, vol. 9, no. 10, pp.1-5, Oct., 1998.
  • Yukihiko Yamashita, “Image restoration and its application to optimum problems,” Proc. of Resional Seminar on Computational Methods and Similation in Engineering, Tutorial, Bandung Indonesia, pp.87-98, Sept 30 – Oct 2, 1997.
  • 斎藤 英雄, 木下 敬介, 志沢 雅彦, 長谷川 修, 松尾 啓志, 山下 幸彦, “12th ICPR(第12回パターン認識国際会議)報告,” 電子情報通信学会技術研究報告, PRU94-129, pp.87-98, Feb, 1995.
  • 山下幸彦, “最適画像復元フィルタ,” 画像ラボ, vol. 3, no. 11, pp.39-42, Nov., 1992.
    山下幸彦, “近似と画像復元,” 第3回電子情報通信学会情報システムグループセミナー, “近似, ランダムネスそしてファジー,” pp.59-69, Feb., 1991.