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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 #
SIP 2022-08-26
15:33
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Locally-Structured Unitary Network to Capture Tangent Spaces of Manifold
Godage Yasas, Shogo Muramatsu (Niigata Univ.) SIP2022-75
This work proposes a unique linear transform, locally-structured unitary network (LSUN), that captures tangent spaces of... [more] SIP2022-75
pp.129-133
PRMU, SP, WIT, ASJ-H 2016-06-13
09:30
Tokyo   Image recognition based on discriminative models using features generated from separable lattice HMMs
Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2016-36 SP2016-2 WIT2016-2
One of the major problems in image recognition is degradation in the recognition performance caused by geometric variati... [more] PRMU2016-36 SP2016-2 WIT2016-2
pp.7-12
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Exaluation of Revised IP-OLDF with S-SVM, LDF and logistic regression by K-fold cross-validation
Shuichi Shinmura (Seikei Univ.) IBISML2013-44
In this paper, Revised IP-OLDF based on MNM criterion is proposed using a mixed integer programming. The new discriminan... [more] IBISML2013-44
pp.61-68
NLP 2013-10-28
15:00
Kagawa Sanport Hall Takamatsu Mathematical structure of optimal solutions in continuous optimization problems (2) -- Necessary and sufficient optimality condition, and estimations of the number of solutions --
Hideo Kanemitsu (Hokkaido Univ. of Edu.), Hideyuki Imai (Hokkaido Univ.) NLP2013-81
We show mathematical structures of optimal solutions in continuous optimization problem with continuous multivariate mul... [more] NLP2013-81
pp.63-68
MBE, NC
(Joint)
2012-03-16
14:10
Tokyo Tamagawa University A Perceptron Learning Rule for Locally Improving the ROC Curve
Akiyuki Kuwabara (Univ. of Tsukuba) NC2011-189
A single-layer perceptron can not give perfect answers to massive linearly inseparable training examples. In such situat... [more] NC2011-189
pp.399-404
CAS, MSS, VLD, SIP 2010-06-22
15:10
Hokkaido Kitami Institute of Technology A Simplified Lattice Structure of Two Dimensional Generalized Lapped Orthogonal Transform
Taichi Yoshida, Masaaki Ikehara (Keio Univ.) CAS2010-29 VLD2010-39 SIP2010-50 CST2010-29
In this report, we propose a novel lattice structure of two dimensional (2D) nonseparable linear-phaseparaunitary filter... [more] CAS2010-29 VLD2010-39 SIP2010-50 CST2010-29
pp.163-168
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2009-12-07
13:55
Aichi Nagoya Univ. The optimum multi-dimensional discrete signal estimation of a slightly non-linear filter bank and its application to environmental preserving
Yuichi Kida (Ohu Univ.), Takuro Kida (Nihon Univ.) CS2009-56 IE2009-120
Firstly, we present the optimum interpolation approximation for multidimensional vector signals.
The presented approxim... [more]
CS2009-56 IE2009-120
pp.5-10
NLP, CAS 2008-10-14
16:20
Miyagi   Formulating Hybrid Equations Using SPICE
Kiyotaka Yamamura, Mitsuru Tonokura, Koyama Yasuhiro (Chuo Univ.) CAS2008-43 NLP2008-55
The hybrid equation is often used in the theoretical study of nonlinear
circuits because it has an easily analyzed str... [more]
CAS2008-43 NLP2008-55
pp.53-58
NLP 2007-06-08
17:05
Hiroshima   Formulating hybrid equations from netlists
Kiyotaka Yamamura, Koki Suda (Chuo Univ.) NLP2007-20
The hybrid equation is often used in the theoretical study of nonlinear circuits because it has an easilt analyzed strut... [more] NLP2007-20
pp.49-52
 Results 1 - 9 of 9  /   
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