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Kazuho Watanabe
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Publications
- 2022
- [j23]Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa:
Gaze-driven placement of items for proactive visual exploration. J. Vis. 25(3): 613-633 (2022) - 2021
- [j21]Masahiro Kobayashi, Kazuho Watanabe:
Generalized Dirichlet-process-means for f-separable distortion measures. Neurocomputing 458: 667-689 (2021) - 2020
- [c28]Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi:
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. IJCNN 2020: 1-8 - [c26]Masahiro Kobayashi, Kazuho Watanabe:
Unbiased Estimation Equation under f-Separable Bregman Distortion Measures. ITW 2020: 1-5 - [c25]Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa:
Context-aware placement of items with gaze-based interaction. VINCI 2020: 12:1-12:8 - [i5]Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi:
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. CoRR abs/2004.14016 (2020) - [i4]Masahiro Kobayashi, Kazuho Watanabe:
Unbiased Estimation Equation under $f$-Separable Bregman Distortion Measures. CoRR abs/2010.12286 (2020) - 2019
- [i3]Masahiro Kobayashi, Kazuho Watanabe:
Generalized Dirichlet-process-means for f-separable distortion measures. CoRR abs/1901.11331 (2019) - 2018
- [c21]Masahiro Kobayashi, Kazuho Watanabe:
Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria. ISITA 2018: 45-49 - 2017
- [c20]Hsiang-Yun Wu, Yusuke Niibe, Kazuho Watanabe, Shigeo Takahashi, Makoto Uemura, Issei Fujishiro:
Making many-to-many parallel coordinate plots scalable by asymmetric biclustering. PacificVis 2017: 305-309 - 2016
- [j16]Kazuho Watanabe, Shiro Ikeda:
Rate-Distortion Functions for Gamma-Type Sources Under Absolute-Log Distortion Measure. IEEE Trans. Inf. Theory 62(10): 5496-5502 (2016) - 2015
- [j13]Kazuho Watanabe, Shiro Ikeda:
Entropic risk minimization for nonparametric estimation of mixing distributions. Mach. Learn. 99(1): 119-136 (2015) - [j12]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato:
Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1109-1114 (2015) - [j11]Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda:
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2176-2181 (2015) - [c17]Kazuho Watanabe, Hsiang-Yun Wu, Yusuke Niibe, Shigeo Takahashi, Issei Fujishiro:
Biclustering multivariate data for correlated subspace mining. PacificVis 2015: 287-294 - 2014
- [c15]Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, Issei Fujishiro:
Spectral-Based Contractible Parallel Coordinates. IV 2014: 7-12 - [c14]Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, Hiroko Kobayashi:
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP. NIPS 2014: 1224-1232 - 2013
- [c11]Kazuho Watanabe, Shiro Ikeda:
Rate-distortion function for gamma sources under absolute-log distortion measure. ISIT 2013: 2557-2561 - 2012
- [c9]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda:
Packet loss rate estimation with active and passive measurements. APSIPA 2012: 1-4 - 2011
- [j9]Kazuho Watanabe, Masato Okada:
Approximate Bayesian Estimation of Varying Binomial Process. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(12): 2879-2885 (2011) - [j8]Kazuho Watanabe, Masato Okada, Kazushi Ikeda:
Divergence measures and a general framework for local variational approximation. Neural Networks 24(10): 1102-1109 (2011) - [c8]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato:
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN 2011: 1230-1236 - 2010
- [j7]Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe:
Phase Transition of Variational Bayes Learning in Bernoulli Mixture. Aust. J. Intell. Inf. Process. Syst. 11(4) (2010) - 2009
- [j6]Kazuho Watanabe, Hiroyuki Tanaka, Keiji Miura, Masato Okada:
Transfer Matrix Method for Instantaneous Spike Rate Estimation. IEICE Trans. Inf. Syst. 92-D(7): 1362-1368 (2009) - [j5]Kazuho Watanabe, Motoki Shiga, Sumio Watanabe:
Upper bound for variational free energy of Bayesian networks. Mach. Learn. 75(2): 199-215 (2009) - [j4]Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, Masato Okada:
Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. IEEE Trans. Neural Networks 20(11): 1783-1796 (2009) - 2008
- [c7]Kazuho Watanabe, Masato Okada:
Firing Rate Estimation Using an Approximate Bayesian Method. ICONIP (1) 2008: 655-662 - [c6]Kazuho Watanabe, Shotaro Akaho, Masato Okada:
Clustering on a Subspace of Exponential Family Using Variational Bayes Method. ITSL 2008: 10-16 - 2007
- [j3]Kazuho Watanabe, Sumio Watanabe:
Stochastic complexities of general mixture models in variational Bayesian learning. Neural Networks 20(2): 210-219 (2007) - [j2]Kazuho Watanabe, Sumio Watanabe:
Stochastic complexity for mixture of exponential families in generalized variational Bayes. Theor. Comput. Sci. 387(1): 4-17 (2007) - 2006
- [j1]Kazuho Watanabe, Sumio Watanabe:
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. J. Mach. Learn. Res. 7: 625-644 (2006) - [c5]Tikara Hosino, Kazuho Watanabe, Sumio Watanabe:
Free Energy of Stochastic Context Free Grammar on Variational Bayes. ICONIP (1) 2006: 407-416 - [c4]Kazuho Watanabe, Motoki Shiga, Sumio Watanabe:
Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. IDEAL 2006: 139-146 - 2005
- [c3]Kazuho Watanabe, Sumio Watanabe:
Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. ALT 2005: 107-121 - [c2]Kazuho Watanabe, Sumio Watanabe:
Variational Bayesian Stochastic Complexity of Mixture Models. NIPS 2005: 1465-1472 - 2004
- [c1]Kazuho Watanabe, Sumio Watanabe:
Estimation of the Data Region Using Extreme-Value Distributions. ALT 2004: 206-220
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