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Semi-supervised learning by locally linear embedding in kernel space.

R. Liu, Y. Wang, T. Baba, and D. Masumoto. ICPR, page 1-4. IEEE Computer Society, (2008)

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A Neural Network Approach to Sensorimotor Fusion - Intentional Sensing for Recognizing Three-Dimensional Objects -.D. Masumoto, T. Kimoto, and S. Nagata. Robotics, Mechatronics and Manufacturing Systems, Elsevier, (1993)Shape based 3D model retrieval without query.S. Endo, T. Baba, S. Shiitani, Y. Uehara, D. Masumoto, and S. Nagata. CIVR, page 218-225. ACM, (2007)Similarity-based Partial Image Retrieval System for Engineering Drawings.T. Baba, R. Liu, S. Endo, S. Shiitani, Y. Uehara, D. Masumoto, and S. Nagata. ISM, page 303-310. IEEE Computer Society, (2005)Semi-supervised learning by locally linear embedding in kernel space.R. Liu, Y. Wang, T. Baba, and D. Masumoto. ICPR, page 1-4. IEEE Computer Society, (2008)A Computer-aided Visual Exploration System for Knowledge Discovery from Images.Y. Uehara, S. Endo, S. Shiitani, D. Masumoto, and S. Nagata. MDM/KDD, page 102-109. University of Alberta, (2001)Device parts retrieval from assembly drawings with SVM based active relevance feedback.R. Liu, T. Baba, Y. Uehara, D. Masumoto, and S. Nagata. CIVR, page 379-386. ACM, (2007)Interactive Visual Retrieval System for Large Scale 3D Models Database.W. Liu, Y. Uehara, H. Yu, D. Masumoto, Y. Liu, J. Pu, and H. Zha. MMM, page 458-463. IEEE Computer Society, (2005)Shape Detection from Line Drawings by Hierarchical Matching.R. Liu, Y. Wang, T. Baba, and D. Masumoto. CAIP, volume 5702 of Lecture Notes in Computer Science, page 922-929. Springer, (2009)Attributed Graph Matching Based Engineering Drawings Retrieval.R. Liu, T. Baba, and D. Masumoto. Document Analysis Systems, volume 3163 of Lecture Notes in Computer Science, page 378-388. Springer, (2004)Hierarchical Sensory Information Processing Model with Neural Networks.T. Kimoto, D. Masumoto, H. Yamakawa, and S. Nagata. ICRA (1), page 929-934. IEEE Computer Society Press, (1993)

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Disambiguation of "Masumoto, Daiki"

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Semi-supervised learning by locally linear embedding in kernel space.

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Disambiguation of "Masumoto, Daiki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Semi-supervised learning by locally linear embedding in kernel space.

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Semi-supervised learning by locally linear embedding in kernel space.