|
Publication List - ISAO YAMADA 2019 (18 / 540 entries)
Journal Paper
-
Isao Yamada,
Masao Yamagishi.
Hierarchical convex optimization by the hybrid steepest descent method with Proximal Splitting - Enhancements of SVM and Lasso,
Splitting Algorithms, Modern Operator Theory and Applications, H. H. Bauschke, R. Burachik and D. R. Luke eds.,
Springer,
pp.413-489,
Dec. 2019.
-
Takehiko Mizoguchi,
Isao Yamada.
Hypercomplex tensor completion via convex optimization,
IEEE Trans. Signal Process,
vol. 67,
no. 15,
pp. 4078-4092,
Aug. 2019.
International Conference (Reviewed)
-
Hiroki Kuroda,
Masao Yamagishi,
Isao Yamada.
Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight Dimensional Spaces,
Eusipco 2019,
Proceedings of Eusipco 2019,
Sept. 2019.
-
Keita Kume,
Isao Yamada.
Adaptive Localized Cayley Parametrization Technique for Smooth Optimization over the Stiefel Manifold,
EUSIPCO2019,
Proceedings of Eusipco 2019,
Sept. 2019.
-
Takehiko Mizoguchi,
Isao Yamada.
Hypercomplex Low Rank Matrix Completion with Non-negative Constraints via Convex Optimization,
IEEE ICASSP 2019,
Proc. IEEE ICASSP 2019,
IEEE,
May 2019.
-
Jiro Abe,
Masao Yamagishi,
Isao Yamada.
Convexity-Edge-Preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function,
IEEE ICASSP 2019,
Proc. IEEE ICASSP 2019,
May 2019.
-
Riku Akema,
Masao Yamagishi,
Isao Yamada.
An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization,
IEEE ICASSP 2019,
Proc. IEEE ICASSP 2019,
May 2019.
International Conference (Not reviewed / Unknown)
-
Isao Yamada,
Masao Yamagishi.
Global optimization of sum of convex and nonconvex functions with proximal splitting techniques,
ICCOPT 2019,
Aug. 2019.
-
ISAO YAMADA,
Jiro Abe,
Masao Yamagishi.
A Proximal Splitting Algorithm for Linearly Involved Generalized Minimax Concave Penalty Models,
Flatiron Institute workshop on Operator Splitting in Data Analysis,
Mar. 2019.
-
ISAO YAMADA,
Riku Akema,
Masao Yamagishi.
An Approximate Simultaneous Matrix-Diagonalization via Alternating Projection,
Numerical Algorithms for Nonsmooth Optimization,
Feb. 2019.
Domestic Conference (Not reviewed / Unknown)
-
ISAO YAMADA,
Takehiko Mizoguchi.
Cayley-Dickson数体系における線形代数的特徴量の新しい解釈法と超複素テンソル補完問題への応用,
日本応用数理学会「行列・固有値問題の解法とその応用」研究集会,
Dec. 2019.
-
ISAO YAMADA.
最適化数理と不動点理論の融合によって生まれた新世代の信号処理アルゴリズムについて,
2019年第10回IEEE東京支部講演会,
Dec. 2019.
-
ISAO YAMADA.
「工学の問題解決にめちゃくちゃ役に立つ数学」を自分でつくっちゃう話,
広島県の高校生のための講演会,
Dec. 2019.
-
ISAO YAMADA,
Jiro Abe,
Masao Yamagishi.
スパース信号処理のためのLinearly involved Generalized Moreau Enhanced モデルと大域的最適解への収束保証付きアルゴリズムについて,
東北大学電気通信研究所共同プロジェクト研究研究会:高次元ニューロダイナミクスとそのニューロハードウエア構築への展開,
Dec. 2019.
-
ISAO YAMADA.
急速に進化し続ける現代の信号処理アルゴリズム -- 基礎研究最前線,
FTR最先端センシングテクノロジーセミナー 2019,
Nov. 2019.
-
Riku Akema,
Masao Yamagishi,
Isao Yamada.
Commutativity-Based Strategies for Reducing Canonical Decomposition to Approximate Simultaneous Diagonalization,
第34回信号処理シンポジウム,
第34回信号処理シンポジウム予稿集,
in USB,
Nov. 2019.
-
Yunosuke Nakayama,
Masao Yamagishi,
Isao Yamada.
What is the Ideal Extension of SVM for Multiclass Classification ?,
第34回信号処理シンポジウム,
第34回信号処理シンポジウム予稿集,
in USB,
Nov. 2019.
-
ISAO YAMADA.
信号処理屋から見たいくつかの普遍的な数値解析的課題と新解法のアイディアについて,
国立情報学研究所ランチセミナー,
Aug. 2019.
[ Save as BibTeX ]
[ Paper, Presentations, Books, Others, Degrees: Save as CSV
]
[ Patents: Save as CSV
]
|