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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 71 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Secure Approximation Guarantee for Private Empirical Risk Minimization with Homomorphic Encryption
Toshiyuki Takada, Hiroyuki Hanada (NIT), Jun Sakuma (Univ.Tsukuba), Ichiro takeuchi (NIT) IBISML2015-86
Privacy concern has been increasingly important in many machine learning problems. In this paper, we study empirical ris... [more] IBISML2015-86
pp.249-256
SIS 2015-06-08
15:55
Nagasaki Arkas SASEBO Weight Optimization for Image Integration and Restoration
Ryo Matsuoka (Univ of Kitakyushu), Tomohiro Yamauchi (QBS), Tatsuya Baba, Masahiro Okuda (Univ of Kitakyushu) SIS2015-7
To restore an image degraded by sensor noise or quantization error, multiple image integration is an effective and power... [more] SIS2015-7
pp.35-38
IBISML 2015-03-06
15:45
Kyoto Kyoto University Model selection with approximate validation error guarantee for (L^2_2) regularized convex loss minimization problems
Atsushi Shibagaki, Yoshiki Suzuki, Ichiro Takeuchi (NIT) IBISML2014-96
In this paper we propose a new algorithm that can select an approximately optimal regularization parameter in a class of... [more] IBISML2014-96
pp.79-86
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Efficient leave-one-out cross-validation for L2-regularized classifier
Shota Okumura, Yoshiki Suzuki, Kohei Ogawa, Yuki Shinmura, Ichiro Takeuchi (NIT) IBISML2014-44
Leave-one-out cross-validation (LOOCV) is a useful tool
for estimating generalization performances of
various machine ... [more]
IBISML2014-44
pp.73-80
RCC, ASN, NS, RCS, SR
(Joint)
2014-07-30
17:00
Kyoto Kyoto Terrsa On numerical computation of sparse optimal control
Takuya Ikeda, Masaaki Nagahara (Kyoto Univ.) RCC2014-25
In this article, we consider sparse optimal control with L2 regularization for the states. Under the normality assumptio... [more] RCC2014-25
pp.19-22
PRMU, CNR 2014-02-14
10:40
Fukuoka   [Special Talk] Convex Optimization for Applications to Image Analysis and Processing -- With a focus on effective utilization of the nuclear norm --
Shunsuke Ono, Masao Yamagishi, Isao Yamada (Tokyo Inst. of Tech.) PRMU2013-158 CNR2013-66
Remarkable advances in convex optimization have enabled us to handle large-scale (constrained) convex optimization probl... [more] PRMU2013-158 CNR2013-66
p.147
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Non-Convex Optimization of Robust Support Vector Regression by Utilizing Parametric Programming
Shinya Suzumura, Ichiro Takeuchi (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-45
In this paper, we propose a novel optimization method for robust support vector regression(SVR) that has robustness to o... [more] IBISML2013-45
pp.69-75
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-02
09:30
Tottori   Optimization for Robust Support Vector Machine Utilizing Homotopy Approach
Shinya Suzumura, Kohei Ogawa, Ichiro Takeuchi (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2013-36 IBISML2013-16
In this paper, we propose a novel optimization method for robust SVM that has robustness to outliers. In robust SVM, it ... [more] PRMU2013-36 IBISML2013-16
pp.19-24
SP, EA, SIP 2013-05-17
16:50
Okayama   Blockwise Low-Rank Prior for Cartoon-Texture Image Decomposition
Shunsuke Ono, Isao Yamada (Tokyo Inst. of Tech.) EA2013-28 SIP2013-28 SP2013-28
We develop a cartoon-texture decomposition model with a novel texture characterization for image analysis and restoratio... [more] EA2013-28 SIP2013-28 SP2013-28
pp.163-168
SP, EA, SIP 2013-05-17
17:15
Okayama   Detecting Reflection from Single Image Based on Nuclear Norm Minimization
Katsuhiro Toyokawa, Shunsuke Ono, Masao Yamagishi, Isao Yamada (Tokyo Inst. of Tech.) EA2013-29 SIP2013-29 SP2013-29
We propose a reflection detection method, namely, a method to extract edges of reflection, from a single image using a c... [more] EA2013-29 SIP2013-29 SP2013-29
pp.169-173
RCS 2013-04-19
09:55
Okinawa Ishigaki City Hall A Distributed Cooperative MIMO Secondary Transceivers Design for Overlay Cognitive Radio Systems
Bassant Abdelhamid, Osamu Muta (Kyushu Univ.), Maha Elsabrouty (EJUST Univ.), Masoud Alghoniemy (Alexandria Univ.), Salwa Elramly (Ain Shams Univ.), Hiroshi Furukawa (Kyushu Univ.) RCS2013-14
Overlay cognitive radio system permits an unlicensed, secondary, user (SU) to transmit own data simultaneously with the ... [more] RCS2013-14
pp.75-80
SIP, CAS, CS 2013-03-14
12:00
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) SUPERVISED NMF AS A SPARSE OPTIMIZATION PROBLEM
Yu Morikawa, Masahiro Yukawa (Niigata Univ.) CAS2012-114 SIP2012-145 CS2012-120
In this paper, we propose a novel scheme to supervised nonnegative
matrix factorization (NMF). We formulate the supervi... [more]
CAS2012-114 SIP2012-145 CS2012-120
pp.105-109
SIP, CAS, CS 2013-03-15
11:35
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Joint Optimization Design for Multiple Underlay MIMO CognitiveTransceiver with Channel Uncertainty
Bassant Abdelhamid (Kyushu Univ.), Maha Elsabrouty (EJUST Univ.), Masoud Alghoniemy (Univ. of Alexandria), Salwa Elramly (Ain Shams Univ.), Osamu Muta, Hiroshi Furukawa (Kyushu Univ.) CAS2012-137 SIP2012-168 CS2012-143
Underlay cognitive Radio (CR) permits an unlicensed secondary users to transmit over the licensed spectrum unless the in... [more] CAS2012-137 SIP2012-168 CS2012-143
pp.235-240
SIP, RCS 2013-02-01
15:40
Hiroshima Viewport-Kure-Hotel (Kure) Joint Optimization Design for Underlay Cognitive Transceiver with Channel Uncertainty
Bassant Abdelhamid (Kyushu Univ.), Maha Elsabrouty (EJUST Univ.), Masoud Alghoniemy (Univ. of Alexandria/EJUST Univ.), Salwa Elramly (Ain Shams Univ.), Osamu Muta, Hiroshi Furukawa (Kyushu Univ.) SIP2012-111 RCS2012-268
Underlay cognitive radio allows simultaneous primary and secondary
transmissions over the same band given that the sec... [more]
SIP2012-111 RCS2012-268
pp.177-182
IBISML 2012-11-08
15:00
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Multi-Instance SVM using Parametric Programming
Naoki Ishihara, Saori Kurumi, Ichiro Takeuchi (NIT) IBISML2012-72
In this paper, we propose a new optimization algorithm for multiple instance learning (MIL). MIL is a supervised learnin... [more] IBISML2012-72
pp.271-276
CAS, CS, SIP 2012-03-08
10:05
Niigata The University of Niigata A Visually Better Recovered Image Selection for Imaging Inverse Problems
Shunsuke Ono, Takamichi Miyata, Isao Yamada (Tokyo Inst. of Tech.) CAS2011-108 SIP2011-128 CS2011-100
In the last decade, many image recovery problems have been formulated as a certain nonsmooth convex minimization problem... [more] CAS2011-108 SIP2011-128 CS2011-100
pp.7-12
CAS, CS, SIP 2012-03-08
14:10
Niigata The University of Niigata Three variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution via sparse representation
Masao Yamagishi, Shunsuke Ono, Isao Yamada (Tokyo Inst. of Tech.) CAS2011-115 SIP2011-135 CS2011-107
We propose three variants of Alternating Direction Method of Multipliers (ADMM) employing simplified updates under addit... [more] CAS2011-115 SIP2011-135 CS2011-107
pp.49-54
NS 2012-01-27
13:40
Okinawa Ryukyu University Resource Allocation based on Robustness for Physical Networks with Virtualization Technology
Mika Mori (NAIST), Takuji Tachibana (Univ. of Fukui), Kentaro Hirata, Kenji Sugimoto (NAIST) NS2011-169
In this paper, we propose a resource allocation method for virtualization technology so that robustness of physical netw... [more] NS2011-169
pp.139-144
RCS, SIP 2012-01-27
13:55
Fukuoka Fukuoka Univ. OPTIMIZATION OF INTERFERENCE SIGNALS TO AN EAVESDROPPER WITH MULTIPLE ANTENNAS
Shuiqiang Yan, Shuichi Ohno (Hiroshima Univ.), Yuji Wakasa (Yamaguchi Univ.) SIP2011-110 RCS2011-299
Wireless communications are susceptible to eavesdropping. To interfere the eavesdropper having multiple antennas,secret ... [more] SIP2011-110 RCS2011-299
pp.183-186
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. A convex formulations of learning from crowds
Hiroshi Kajino, Hisashi Kashima (UT) IBISML2011-76
It has attracted considerable attention to use crowdsourcing services
to collect a large amount of labeled data for ma... [more]
IBISML2011-76
pp.231-236
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