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2012年度発表論文

Journals(with referees)
[1] Xian-Hua Han and Yen-Wei Chen: “Multilinear Supervised Neighborhood Embedding of Local Descriptor Tensor for Scene/object Recognition,” IEEE Trans. on Image Processing, Vol.21, No.3, pp.1314-1326 (2012).
[2] Xian-Hua Han, Yen-Wei Chen: and Xiang Ruan “View-Based Object Recognition Using ND Tensor Supervised Neighborhood Embedding,” IEICE Trans., Vol.E95-D, No.3, pp.835-843 (2012).
[3] Songyuan Tang, Yongtian Wang, Yen-Wei Chen: “Application of ICA to X-ray coronary digital subtraction angiography,” Neurocomputing, Vol.79, pp.168-172 (2012)
[4] Khazab, Mohammad and Ai, Danni and Tweedale, Jeffrey, Chen, Yen-Wei and Jain, Lakhmi C, “An Agent-Oriented Approach for Image Classification with ICA-Color SIFT,” International Journal on Artificial Intelligence Tools, vol.21, no.2, 2012, DOI: 10.1142/S0218213012400039.
[5] Chen-Lun Lin, Aya Mimori, and Yen-Wei Chen: “Hybrid Particle Swarm Optimization and Its Application to Multimodal 3D Medical Image Registration,” Computational Intelligence and Neuroscience, Vol. 2012, Article ID 561406, 7 pages, 2012. doi:10.1155/2012/561406.
[6] 6. 五十嵐崇訓, 中尾啓輔, Xu Qiao, 陳延偉:” 多視点・多照明化粧顔画像データベースの構築と化粧品開発への応用,” 日本顔学会誌, Vol.12, No.1, pp.29-43 (2012)
[7] 谷口 和輝, 韓 先花, 大橋 基範, 岩本 祐太郎, 笹谷 聡, 陳 延偉:“多様体学習法と事例ベース法を融合した超解像技術とその高速化,” 電気学会論文誌C, Vol.132, No.11 (2012).
[8] Guifang Duan, Hongcui Wang, Zhenyu Liu, and Yen-Wei Chen:”“A Machine Learning-Based Framework for Automatic Visual Inspection of Microdrill Bits in PCB Production,” IEEE Trans. on Systems, Man, and Cybernetics—PART C: Applications and Reviews, Vol. 42, NO. 6, pp. 1679-1689 (2012)
[9] Xian-Hua Han and Yen-Wei Chen: “Subspace Similarity of Local Feature Set using Canonical Correlation Analysis for View-based Object Recognition", AMT: Advances in Multimedia Technology, Vol. 1, No. 1, pp. 12-20 (2012)
International Conference Papers (with referees)
[1] Yen-Wei Chen: “Computational Anatomy Models for Medical Image Understanding,” 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, (Oct.23-25, 2012) Keynote Speech
[2] Guifang Duan, Hongcui Wang, Zhenyu Liu, Junping Deng and Yen-Wei Chen: “K-CPD: Learning of Overcomplete Dictionaries for Tensor Sparse Coding,” Proc. of 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, pp.493-496 (November 11-15, 2012) Best Scientific Paper Award
[3] Xian-Hua Han, Xu Qiao and Yen-Wei Chen: “Group Sparse Representation of Adaptive Sub-Domain Selection for Image Classification,” Proc. of 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, pp.1431-1434 (November 11-15, 2012)
[4] Danni Ai, Guifang Duan, Xianhua Han and Yen-Wei Chen: “Multiple Feature Selection and Fusion Based on Generalized N-Dimensional Independent Component Analysis,” Proc. of 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, pp.971-974 (November 11-15, 2012)
[5] Yutaro Iwamoto, Xian-Hua Han, So Sasatani, Kazuki Taniguchi, Wei Xiong and Yen-Wei Chen: “Super-Resolution of MR Volumetric Images Using Sparse Representation and Self-Similarity,” Proc. of 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, pp.3758-3761 (November 11-15, 2012)
[6] Kazuki Taniguchi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani, Yen-Wei Chen: “Image Super-Resolution based on Locality-Constrained Linear Coding,” Proc. of 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, pp.1948-1951 (November 11-15, 2012)
[7] Xian-Hua Han, Yen-Wei Chen: “Face Recognition Using Multilinear Manifold Analysis of Local Descriptors,” Lecture Notes in Computer Science, LNCS7626, Springer, pp.734-742 (2012)
[8] Yen-Wei CHEN, Jie LUO, Tomoko TATEYAMA, Xian-Hua HAN, Akira FURUKAWA, Shuzo KANASAKI and Huiyan JIANG: “Statistical Shape Model of the Liver and Effective Mode Selection for Classification of Liver Cirrhosis,” Proc. of 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, pp.446-449 (Oct.23-25, 2012)
[9] Masataka SEO, Yen-Wei Chen: “Two-Step Subspace Learning for Texture Synthesis of Facial Images,” Proc. of 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, pp.480-483 (Oct.23-25, 2012)
[10] Xu Qiao, Xuantao Su, Xianhua Han and Yen-Wei Chen: “A New Linear Coding Algorithm for Efficient Multi-dimensional Data Representation without Data Expansion,” Proc. of 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, pp.475-478 (Oct.23-25, 2012)
[11] Shunya Osawa, Guifang Duan, Masataka Seo, Takanori Igarashi and Yen-Wei Chen: “3D Facial Images Reconstruction from Single Facial Image,” Proc. of 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, pp.484-487 (Oct.23-25, 2012)
[12] Kenji Muta, Masataka Seo, Guifang Duan and Yen-Wei Chen: “Natural Skin Color Transformation Based on Color Subspace Learning,” Proc. of 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, pp.488-491 (Oct.23-25, 2012)
[13] Keisuke HIGASHIURA, Dipti PRASAD MUKHERJEE, Toshiyuki OKADA, Futoshi YOKOTA, Masatoshi HORI, Masaki TAKAO, Nobuhiko SUGANO,Yen-Wei CHEN, Noriyuki TOMIYAMA, and Yoshinobu SATO: ”Disease Discrimination based on Disease Subspace of Organ Shape Using Orthogonal Complement of Normal Subspace,”Proc. of 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, pp.450-454 (Oct.23-25, 2012)
[14] Chie Fujiwara, Naiki Onishi, Tomoko Tateyama, Satoshi Hiratsuka, Kazutoshi Sakakibara, Yen-Wei Chen: “Behavior Generation of Fish School by the Potential Field Method in Virtual Aqua Museum,” Proc. of 2012 International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), Taiwan, pp.492-495 (Oct.23-25, 2012)
Conference Papers (without referees)
[1] 陳 延偉:超解像イメージング数理の基礎と最新動向、第31回日本医用画像工学会大会、北海道、2012.8.3 (チュートリアル講演)
[2] 瀬尾  第17回日本顔学会大会、東京、2012.10.14
[3] 木原裕太・段桂芳・瀬尾昌孝・松代直樹・陳延偉:顔面神経麻痺の客観的評価のための画像特徴量の検討、第17回日本顔学会大会、東京、2012.10.14
[4] 大澤隼也・段桂芳・瀬尾昌孝・五十嵐崇訓・陳延偉:3次元表情動画像データベースの構築と単視点顔画像から3次元表情動画像の生成、第17回日本顔学会大会、東京、2012.10.14
[5] 牟田賢司・瀬尾昌孝・陳延偉:色の固有空間学習による肌色変換~RGB表色系とYIQ表色系の比較~、第17回日本顔学会大会、東京、2012.10.14
[6] Minami WAZUMI・Xian-Hua HAN・Yen-Wei CHEN:Food Recognition Using Codebook-based Model with Sparse-Coding、MPR2012、福岡、2012.10.16-17
[7] 大澤隼也・石本守・段桂芳・陳延偉: 固有空間法による単視点顔画像から3次元表情動画像の生成, 信学技報, Vol.112, No. 37, pp.1-6 (2012).
[8] 牟田賢司・瀬尾昌孝・陳 延偉: 色の固有空間学習を用いた自然な肌色変換, 信学技報, Vol.112, No. 37, pp.75-80 (2012.5).
[9] Xianhua Han・Yen-Wei Chen: Sparse Dictionary Representation and Propagation for MRI Volume Super-Resolution, 信学技報, Vol.112, No. 37, pp.13-18 (2012.5).
[10] 谷口和輝・韓先花・岩本祐太郎・笹谷聡・陳延偉: ベクトル量子化と多様体学習を用いた超解像技術, 信学技報, Vol.112, No. 37, pp.19-24 (2012.5).
[11] Jie Luo・Xian-hua Han・Shinya Kohara・Tomoko Tateyama・Akira furukawa・Shuzo Kanasaki・Yen-Wei Chen: A Novel Components Selection Method in Statistical Shape Model for Computer-aided Diagnosis and It's Application for Assisting Cirrhosis Diagnosis, 信学技報, Vol.112, No. 37, pp.33-38 (2012.5).
[12] 健山智子・桶川萌・小原伸哉・韓先花・古川顕・金崎周造・陳 延偉: SPHARMベース統計形状モデルと点分布ベース統計形状モデルとの性能比較, 信学技報, Vol.112, No. 37, pp.39-44 (2012.5).
[13] 東浦圭佑・Dipti Prasad Mukherjee・岡田俊之・横田太・堀雅敏・高尾正樹・菅野伸彦・陳延偉・富山憲幸・佐藤嘉伸: 正常部分空間の直交補空間を用いた臓器形状の疾患部分空間に基づく正常・疾患の識別, 信学技報, Vol.112, No. 37, pp.51-56 (2012.5).
[14] 亀井亮吾・山崎隆治・岡田俊之・福田紀生・菅本一臣・吉川秀樹・陳延偉・富山憲幸・佐藤嘉伸: 2D/3Dレジストレーションによる人工膝関節の動態解析自動化を目的とした動作モデルの利用, 信学技報, MI2012-57, pp.49-54 (2012.10).

 

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