Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE |
2015-05-23 15:20 |
Toyama |
|
Elastic modulus estimation method of carotid artery using a compound cylinder model
-- Evaluation using cervical phantom of both carotid artery and the surrounding tissues -- Yasunari Yokota, Ryogo Okitsu, Ryota Tomioka, Bao Guojie, Teruhisa Yotsuya (Gifu Univ.) MBE2015-9 |
In this study, we proposes an estimation method for elastic modulus distribution of both carotid artery and the surround... [more] |
MBE2015-9 pp.43-48 |
MBE, NC (Joint) |
2014-12-13 16:10 |
Aichi |
Nagoya University |
Development and Property Evaluation of Phantoms for the Vascular System Test Using Ultrasonic B-mode Images Ryogo Okitsu, Ryota Tomioka, Bao Guojie, Teruhisa Yotsuya, Yasunari Yokota (Gifu Univ.) MBE2014-91 |
To evaluate the effectiveness of the index for evaluating the degree of arteriosclerosis, using the neck simulated phant... [more] |
MBE2014-91 pp.95-100 |
IBISML |
2014-11-17 17:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Multitask learning meets tensor factorization: task imputation via convex optimization Kishan Wimalawarne (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo), Ryota Tomioka (TTIC) IBISML2014-49 |
We study a multitask learning problem in which each task is parametrized by a weight vector and indexed by a pair of ind... [more] |
IBISML2014-49 pp.111-118 |
IBISML |
2014-11-18 15:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Tensor Regression and Classification with Latent and Scaled Latent Norms Kishan Wimalawarne (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo), Ryota Tomioka (TTIC) IBISML2014-75 |
In this paper we study tensor based regression and classification using regularisations with tensor norms. We apply the ... [more] |
IBISML2014-75 pp.299-306 |
NC, MBE (Joint) |
2013-12-21 11:40 |
Gifu |
Gifu University |
Investigation of Phantom for Angiosystem Evaluation Using Ultrasonic Images Ryogo Okitsu, Ryota Tomioka, Teruhisa Yotsuya, Yasunari Yokota (Gifu Univ.) MBE2013-81 |
When you have devised a new index for evaluating the degree of arteriosclerosis, evaluation of the validity of the estim... [more] |
MBE2013-81 pp.31-35 |
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Infinite Positive Semidefinite Tensor Factorization based on Gamma Process for Music Signal Analysis Kazuyoshi Yoshii (AIST), Ryota Tomioka (Univ. of Tokyo), Daichi Mochihashi (ISM), Masataka Goto (AIST) IBISML2013-57 |
This paper presents positive semidefinite tensor factorization (PSDTF) that is a natural extension of nonnegative matrix... [more] |
IBISML2013-57 pp.161-168 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
On Dimensionality Recovery Guarantee of Variational Bayesian PCA Shinichi Nakajima (Nikon), Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2012-66 |
The variational Bayesian (VB) approach is
one of the best tractable approximations to the Bayesian estimation,
and it ... [more] |
IBISML2012-66 pp.229-236 |
IBISML |
2012-03-12 10:50 |
Tokyo |
The Institute of Statistical Mathematics |
Detecting Latent Structural Changes via Latent Dirichlet Allocation Masashi Ueda, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo), Katsuhiko Ishiguro, Hiroshi Sawada, Naonori Ueda (NTT) IBISML2011-89 |
Detecting changes in consumers' latent preference is a fundamental challenge for improving recommendation systems as wel... [more] |
IBISML2011-89 pp.15-20 |
IBISML |
2012-03-12 17:20 |
Tokyo |
The Institute of Statistical Mathematics |
Detecting Long-term Trending Topics in Social Networks Shota Saito, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo) IBISML2011-98 |
In social networking services (SNSs), long-term trending topics are extremely rare and valuable. In this paper, we propo... [more] |
IBISML2011-98 pp.77-84 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
A kernel-based approach for matrix and tensor completion Kohei Hayashi, Takashi Takenouchi (NAIST), Ryota Tomioka, Hisashi Kashima (Univ. Tokyo) IBISML2011-53 |
We study a new kernel-based framework for matrix and tensor completion problems. Our model provides a consistent way to ... [more] |
IBISML2011-53 pp.71-77 |
IBISML |
2011-06-20 10:35 |
Tokyo |
Takeda Hall |
On the Convergence of Convex Tensor Estimation Ryota Tomioka, Taiji Suzuki (Univ. Tokyo), Kohei Hayashi (NAIST), Hisashi Kashima (Univ. Tokyo) IBISML2011-14 |
凸最適化に基づくテンソル分解アルゴリズムの統計的な性能について解析し,報
告する.従来テンソル分解は非凸の最適化問題として定式化され,そのため性
能の解析は困難であった.本論文では,ある条件のもとで,推定されたテンソ
ルを$\h... [more] |
IBISML2011-14 pp.97-102 |
IBISML |
2011-03-29 10:10 |
Osaka |
Nakanoshima Center, Osaka Univ. |
Tensor factorization using auxiliary information Atsuhiro Narita (Univ. Tokyo), Kohei Hayashi (NAIST), Ryota Tomioka (Univ. Tokyo), Hisashi Kashima (Univ. of Tokyo/JST) IBISML2010-124 |
Most of the existing completion methods of tensors (i.e. multi-way
arrays) only assume that tensors to be completed are... [more] |
IBISML2010-124 pp.139-146 |
IBISML |
2011-03-29 10:50 |
Osaka |
Nakanoshima Center, Osaka Univ. |
Principal component analysis for multiple information sources Kyohei Suwa, Ryota Tomioka, Takehisa Yairi, Hisashi Kashima (Univ. Tokyo) IBISML2010-125 |
(Advance abstract in Japanese is available) [more] |
IBISML2010-125 pp.147-152 |
IBISML |
2011-03-29 11:40 |
Osaka |
Nakanoshima Center, Osaka Univ. |
Topic Emergence Detection in Social Networks Using Probabilistic Models of Links Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo) IBISML2010-128 |
Detection of emerging topics from social network streams is becoming increasingly important these days. Conventional app... [more] |
IBISML2010-128 pp.169-176 |
IBISML |
2011-03-29 16:30 |
Osaka |
Nakanoshima Center, Osaka Univ. |
Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization Taiji Suzuki, Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-126 |
We investigate the learning rate of multiple kernel leaning (MKL)
with elastic-net regularization,
which consists of a... [more] |
IBISML2010-126 pp.153-160 |
IBISML |
2010-11-05 15:30 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Global Analytic Solution for Variational Bayesian Matrix Factorization and its Model-induced Regularization Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Ryota Tomioka (Univ. of Tokyo) IBISML2010-99 |
Bayesian methods of matrix factorization (MF) have been actively explored recently
as promising alternatives to classic... [more] |
IBISML2010-99 pp.291-302 |
IBISML |
2010-11-05 15:30 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Regularization Strategies and Empirical Bayesian Learning for MKL Ryota Tomioka, Taiji Suzuki (Univ. of Tokyo) IBISML2010-100 |
Multiple kernel learning (MKL) has received considerable attention recently. In this paper, we show how different MKL al... [more] |
IBISML2010-100 pp.303-310 |
IBISML |
2010-06-15 17:15 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Graph Clustering based on Normalized Maximum Likelihood Coding So Hirai, Ryota Tomioka, Kenji Yamanishi (Univ. of Tokyo) IBISML2010-27 |
This paper addresses the issue of graph clustering, i.e., assigning nodes for a given graph into a number of clusters, i... [more] |
IBISML2010-27 pp.189-195 |
PRMU |
2009-08-31 14:40 |
Miyagi |
Tohoku Univ. |
[Special Talk]
Optimization algorithms for sparse regularization and multiple kernel learning and their applications to CV/PR Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama (Univ. of Tokyo.) PRMU2009-63 |
Convex sparse regularization is increasingly becoming recognized as a principled
framework for selecting informative fe... [more] |
PRMU2009-63 pp.43-48 |