Naonori Ueda

	2012
64		Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda: Sequential Modeling of Topic Dynamics with Multiple Timescales. TKDD 5(4): 19 (2012)
	2011
63		Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda: Formulations and algorithms for multichannel complex NMF. ICASSP 2011: 229-232
62		Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li: A New Multi-task Learning Method for Personalized Activity Recognition. ICDM 2011: 1218-1223
61		Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda: Fast approximate similarity search based on degree-reduced neighborhood graphs. KDD 2011: 1055-1063
60		Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda: Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. PAKDD (2) 2011: 222-233
59		Hiroshi Sawada, Hirokazu Kameoka, Shoko Araki, Naonori Ueda: New formulations and efficient algorithms for multichannel NMF. WASPAA 2011: 153-156
58		Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda: Improving Classifier Performance Using Data with Different Taxonomies. IEEE Trans. Knowl. Data Eng. 23(11): 1668-1677 (2011)
57		Shiro Usui, Nilton Liuji Kamiji, Tatsuki Taniguchi, Naonori Ueda: RAST: finding related documents based on triplet similarity. Neural Computing and Applications 20(7): 993-999 (2011)
	2010
56		Akinori Fujino, Naonori Ueda, Masaaki Nagata: A robust semi-supervised classification method for transfer learning. CIKM 2010: 379-388
55		Kazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, Kazumi Saito: Fast similarity search on a large speech data set with neighborhood graph indexing. ICASSP 2010: 5358-5361
54		Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda: Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. ICDM 2010: 1067-1072
53		Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda: Online multiscale dynamic topic models. KDD 2010: 663-672
52		Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum: Dynamic Infinite Relational Model for Time-varying Relational Data Analysis. NIPS 2010: 919-927
	2009
51		Daichi Mochihashi, Takeshi Yamada, Naonori Ueda: Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. ACL/AFNLP 2009: 100-108
50		Shiro Usui, Nilton Liuji Kamiji, Tatsuki Taniguchi, Naonori Ueda: RAST: A Related Abstract Search Tool. ICONIP (2) 2009: 189-195
49		Tomoharu Iwata, Shinji Watanabe, Takeshi Yamada, Naonori Ueda: Topic Tracking Model for Analyzing Consumer Purchase Behavior. IJCAI 2009: 1427-1432
48		Tomoharu Iwata, Takeshi Yamada, Naonori Ueda: Modeling Social Annotation Data with Content Relevance using a Topic Model. NIPS 2009: 835-843
	2008
47		Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda: Simultaneous clustering and tracking unknown number of objects. CVPR 2008
46		Tomoharu Iwata, Takeshi Yamada, Naonori Ueda: Probabilistic latent semantic visualization: topic model for visualizing documents. KDD 2008: 363-371
45		Akinori Fujino, Naonori Ueda, Kazumi Saito: Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 424-437 (2008)
	2007
44		Shuhei Kuwata, Naonori Ueda: One-shot Collaborative Filtering. CIDM 2007: 300-307
43		Akinori Fujino, Naonori Ueda, Kazumi Saito: Semi-Supervised Learning for Multi-Component Data Classification. IJCAI 2007: 2754-2759
42		Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Taniguchi: 3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization. IJCNN 2007: 1103-1108
41		Manabu Kimura, Kazumi Saito, Naonori Ueda: Pivot Learning for Efficient Similarity Search. KES (3) 2007: 227-234
40		Shiro Usui, Paulito P. Palmes, Kazunori Nagata, Tatsuki Taniguchi, Naonori Ueda: Keyword extraction, ranking, and organization for the neuroinformatics platform. Biosystems 88(3): 334-342 (2007)
39		Akinori Fujino, Naonori Ueda, Kazumi Saito: A hybrid generative/discriminative approach to text classification with additional information. Inf. Process. Manage. 43(2): 379-392 (2007)
38		Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum: Parametric Embedding for Class Visualization. Neural Computation 19(9): 2536-2556 (2007)
	2006
37		Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda: Learning Systems of Concepts with an Infinite Relational Model. AAAI 2006
36		Tomoharu Iwata, Kazumi Saito, Naonori Ueda: Visual nonlinear discriminant analysis for classifier design. ESANN 2006: 283-288
35		Shiro Usui, Paulito P. Palmes, Kazunori Nagata, Tatsuki Taniguchi, Naonori Ueda: Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree. IJCNN 2006: 5045-5050
34		Naonori Ueda, Kazumi Saito: Parametric mixture model for multitopic text. Systems and Computers in Japan 37(2): 56-66 (2006)
	2005
33		Akinori Fujino, Naonori Ueda, Kazumi Saito: A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design. AAAI 2005: 764-769
32		Akinori Fujino, Naonori Ueda, Kazumi Saito: A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle. AIRS 2005: 423-438
31		Masashi Inoue, Naonori Ueda: Retrieving lightly annotated images using image similarities. SAC 2005: 1031-1037
30		Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda: Selection of Shared-State Hidden Markov Model Structure Using Bayesian Criterion. IEICE Transactions 88-D(1): 1-9 (2005)
	2004
29		Yuji Kaneda, Naonori Ueda, Kazumi Saito: Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization. KES 2004: 616-623
28		Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum: Parametric Embedding for Class Visualization. NIPS 2004
27		Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda: Variational bayesian estimation and clustering for speech recognition. IEEE Transactions on Speech and Audio Processing 12(4): 365-381 (2004)
26		Masahiro Kimura, Kazumi Saito, Naonori Ueda: Modeling of growing networks with directional attachment and communities. Neural Networks 17(7): 975-988 (2004)
25		Masahiro Kimura, Kazumi Saito, Naonori Ueda: Modeling network growth with directional attachment and communities. Systems and Computers in Japan 35(8): 1-11 (2004)
24		Naonori Ueda, Masashi Inoue: Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data. VLSI Signal Processing 37(2-3): 189-197 (2004)
	2003
23		Masahiro Kimura, Kazumi Saito, Naonori Ueda: Modeling of growing networks with directional attachment and communities. ESANN 2003: 15-20
22		Takeshi Yamada, Kazumi Saito, Naonori Ueda: Cross-Entropy Directed Embedding of Network Data. ICML 2003: 832-839
21		Masashi Inoue, Naonori Ueda: Exploitation of Unlabeled Sequences in Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1570-1581 (2003)
20		Masashi Inoue, Naonori Ueda: Use of unlabeled time series data in hidden Markov models. Systems and Computers in Japan 34(13): 1-12 (2003)
19		Satoshi Suzuki, Naonori Ueda: Adaptive clustering using modular learning architecture. Systems and Computers in Japan 34(2): 70-80 (2003)
	2002
18		Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda: Constructing shared-state hidden Markov models based on a Bayesian approach. INTERSPEECH 2002
17		Naonori Ueda, Kazumi Saito: Single-shot detection of multiple categories of text using parametric mixture models. KDD 2002: 626-631
16		Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura, Naonori Ueda: Application of Variational Bayesian Approach to Speech Recognition. NIPS 2002: 1237-1244
15		Naonori Ueda, Kazumi Saito: Parametric Mixture Models for Multi-Labeled Text. NIPS 2002: 721-728
14		Naonori Ueda, Zoubin Ghahramani: Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks 15(10): 1223-1241 (2002)
	2000
13		Naonori Ueda: Optimal Linear Combination of Neural Networks for Improving Classification Performance. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 207-215 (2000)
12		Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. Neural Computation 12(9): 2109-2128 (2000)
11		Naonori Ueda, Ryohei Nakano: EM algorithm with split and merge operations for mixture models. Systems and Computers in Japan 31(5): 1-11 (2000)
10		Naonori Ueda: Optimal linear combination of neural network classifiers based on the minimum classification error criterion. Systems and Computers in Japan 31(9): 39-48 (2000)
9		Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. VLSI Signal Processing 26(1-2): 133-140 (2000)
	1998
8		Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. NIPS 1998: 599-605
7		Naonori Ueda, Ryohei Nakano: Deterministic annealing EM algorithm. Neural Networks 11(2): 271-282 (1998)
	1995
6		Naonori Ueda, Kenji Mase: Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models. IJPRAI 9(3): 465-484 (1995)
	1994
5		Naonori Ueda, Ryohei Nakano: Deterministic Annealing Variant of the EM Algorithm. NIPS 1994: 545-552
4		Naonori Ueda, Ryohei Nakano: A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers. Neural Networks 7(8): 1211-1227 (1994)
	1993
3		Naonori Ueda, Satoshi Suzuki: Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching. IEEE Trans. Pattern Anal. Mach. Intell. 15(4): 337-352 (1993)
2		Satoshi Suzuki, Naonori Ueda, Jack Sklansky: Graph-Based Thinning for Binary Images. IJPRAI 7(5): 1009-1030 (1993)
	1992
1		Naonori Ueda, Kenji Mase: Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models. ECCV 1992: 453-457

Coauthor Index

1	Kazuo Aoyama	[55] [61]
2	Shoko Araki	[59] [63]
3	Akinori Fujino	[32] [33] [39] [43] [45] [56]
4	Zoubin Ghahramani	[8] [9] [12] [14]
5	Thomas L. Griffiths	[28] [37] [38]
6	Geoffrey E. Hinton	[8] [9] [12]
7	Masashi Inoue	[20] [21] [24] [31]
8	Katsuhiko Ishiguro	[47] [52]
9	Tomoharu Iwata	[28] [36] [38] [46] [48] [49] [52] [53] [58] [64]
10	Hirokazu Kameoka	[59] [63]
11	Nilton Liuji Kamiji	[50] [57]
12	Yuji Kaneda	[29]
13	Hisashi Kashima	[54] [60] [62]
14	Charles Kemp	[37]
15	Manabu Kimura	[41]
16	Masahiro Kimura	[23] [25] [26]
17	Shuhei Kuwata	[44]
18	Ping Li	[62]
19	Kenji Mase	[1] [6]
20	Takuya Matsuzaki	[54]
21	Yasuhiro Minami	[16] [18] [27] [30] [55]
22	Daichi Mochihashi	[51]
23	Kazunori Nagata	[35] [40]
24	Masaaki Nagata	[56]
25	Atsushi Nakamura	[16] [18] [27] [30]
26	Ryohei Nakano	[4] [5] [7] [8] [9] [11] [12]
27	Antoine Naud	[42]
28	Paulito P. Palmes	[35] [40]
29	Kazumi Saito	[15] [17] [22] [23] [25] [26] [28] [29] [32] [33] [34] [36] [38] [39] [41] [43] [45] [55] [61]
30	Yasushi Sakurai	[53] [64]
31	Hiroshi Sawada	[55] [59] [61] [63]
32	Jack Sklansky	[2]
33	Sean Stromsten	[28] [38]
34	Xu Sun	[54] [60] [62]
35	Satoshi Suzuki	[2] [3] [19]
36	Toshiyuki Tanaka	[58]
37	Tatsuki Taniguchi	[35] [40] [42] [50] [57]
38	Joshua B. Tenenbaum	[28] [37] [38] [52]
39	Ryota Tomioka	[60] [62]
40	Shiro Usui	[35] [40] [42] [50] [57]
41	Shinji Watanabe	[16] [18] [27] [30] [49] [55]
42	Takeshi Yamada	[22] [37] [46] [47] [48] [49] [51] [53] [58] [64]

Colors in the list of coauthors

Last update Sat Feb 11 22:55:45 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page