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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-07-08
14:00
Online Online Unsupervised deep learning with low-rank and sparse priors for blood vessel enhancement from free-breathing angiography
Ryoji Ishibashi, Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2021-11
(To be available after the conference date) [more] MI2021-11
pp.11-14
PRMU, IPSJ-CVIM 2020-03-17
09:45
Kyoto
(Cancelled but technical report was issued)
Deep neural network representation and learning of low-rank and sparse approximation -- With application to celiac angiography under free breathing --
Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) PRMU2019-91
Low-rank and sparse (L+S) approximation, a.k.a. stable and robust principal component analysis, is known to be suitable ... [more] PRMU2019-91
pp.133-138
MI 2019-01-22
09:35
Okinawa   Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing
Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Hideyuki Kato, Yoshihiko Ooka (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2018-59
Robust principal component analysis (RPCA) can extract vessel information from consecutive digital angiographic images. ... [more] MI2018-59
pp.1-4
SIP 2017-08-24
14:15
Tokyo Tokyo Denki University A DDoS Attack Detection Based on Group Sparsities of OD Flow Matrices
Masaya Endo, Masao Yamagishi, Isao Yamada (Tokyo Inst. of Tech.) SIP2017-52
To realize effective detection schemes applicable to diverse network traffic anomalies, we first propose to use group sp... [more] SIP2017-52
pp.21-26
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
14:30
Hokkaido Hokkaido Univ. Minimization of mixed norm for frequency spectrum of images and its application of pattern noise decomposition
Keiichiro Shirai (Shinshu Univ.), Shunsuke Ono (Tokyo Institute Tech.), Masahiro Okuda (Univ. Kitakyushu) ITS2016-57 IE2016-115
This paper deals with a mixed norm for complex vectors, i.e., the summation of amplitude spectrum, and its minimization ... [more] ITS2016-57 IE2016-115
pp.275-280
PRMU, CNR 2017-02-19
11:20
Hokkaido   [Poster Presentation] Online Algorithm for Separating a Sequence of Optical Flow Fields with Low-rank and TV Regularization
Shun Ogawa, Tomoya Sakai (Nagasaki Univ.) PRMU2016-179 CNR2016-46
Estimation of camera egomotion and detection of moving object
both require separation of the apparent motions, a.k.a. t... [more]
PRMU2016-179 CNR2016-46
pp.155-156
MI 2016-07-25
15:45
Hokkaido Tomakomai Civic Hall Development of quantitative perfusion evaluation methods for obstruction of blood flow of microcirculation using a rat model of septic shock.
Minori Takahashi, Takashi Ohnishi, Eizo Watanabe, Shigeto Oda, Hideaki Haneishi (Chiba Univ.) MI2016-39
Septic shock induces organ dysfunction by microcirculatory disturbance. Observation and quantification of microcirculati... [more] MI2016-39
pp.19-22
PRMU, MI, IE, SIP 2014-05-22
16:20
Aichi   Signal Processing for Lung-Sound Recognition -- Separation and Classification of Continuous and Discontinuous Adventitious Sounds --
Tomoya Sakai, Takahiro Uchida, Aeri Sakaguchi, Senya Kiyasu (Nagasaki Univ.), Sueharu Miyahara (formerly Nagasaki Univ.), Mikio Oka (Kawasaki Med. Sch.) SIP2014-11 IE2014-11 PRMU2014-11 MI2014-11
This paper presents signal separation techniques for pattern recognition of lung sounds. From a viewpoint of pattern rec... [more] SIP2014-11 IE2014-11 PRMU2014-11 MI2014-11
pp.55-60
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. Generalization of Matrix Factorization for Robust PCA
Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2011-61
Principal component analysis (PCA) can be regarded as approximating a
data matrix with
a low-rank one by imposing spar... [more]
IBISML2011-61
pp.127-134
 Results 1 - 9 of 9  /   
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