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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
12:45
Online online Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Hokkaido Univ.)
Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement ... [more] MMS2022-6 ME2022-31 AIT2022-6
pp.31-36
BCT, IEICE-SIS 2020-10-01
15:10
Online Online Fast Beamforming using Sparse Coding for mmWave Communications
Yitu Wang, Takayuki Nakachi (NTT Lab)
The sensitivity of mmWave to blockages together with its directionality bring new technical challenges in the vehicular ... [more]
IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] 2019-12-05
11:40
Iwate Aiina Center [Special Talk] Representation of moving-image's sparsity and its applications to adaptive moving-image restoration
Takahiro Saito (Kanagawa Univ.)
This talk states that statistical sparsity of a moving-image sequence can be properly represented in the domain of the 3... [more]
BCT, IEICE-SIS 2019-10-25
11:10
Fukui Fukui International Activities Plaza Image Compression in Encryption-then-Compression System Using Secure Sparse Representations
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.)
n this paper, we propose a image compression method using secure sparse representations in Encryption-then-Compression (... [more]
IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] 2019-09-19
15:10
Niigata Tokimeito, Niigata University Secure sparse representations in L0 norm minimization
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.)
In this paper, we propose a method to estimate secure sparse representations in L0 norm minimization, and evaluate the e... [more]
3DMT, IPSJ-AVM, IEICE-SIS [detail] 2018-06-07
10:20
Hokkaido Jozankei View Hotel Secure Computation of Sparse Coding for Privacy Protection
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.)
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chose... [more]
HI 2011-03-16
14:10
Tokyo Tokyo Univ. of Tech. Sparse Coding for the Representation of Shape in Cortical Area V4 -- A Computational Study --
Tatsuroh Mashita, Ko Sakai (Univ. of Tsukuba)
We examined the essence of the receptive-filed properties of V4 neurons from the view point of information, specifically... [more] HI2011-53
pp.97-100
HI 2009-03-19
10:40
Tokyo Tokyo Institute of Technology Statistical analysis of information expression in V1 receipt field with sparseness constraint
Yoshitaka Hirose, Ko Sakai (Univ. of Tsukuba)
We discuss the information representation in V1 neurons including their surround modulation, with specific interests on ... [more] HI2009-76
pp.33-36
 Results 1 - 8 of 8  /   
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