Admissibility of memorization learning with respect to projection learning in the presence of noise. - Akira Hirabayashi; Hidemitsu Ogawa (ICNN, 1996)

What can memorization learning do? - Akira Hirabayashi; Hidemitsu Ogawa (IJCNN, 1999)

A class of learning for optimal generalization. - Akira Hirabayashi; Gintaras Ogawa (IJCNN, 1999)

Error correcting memorization learning for noisy training examples. - Akiko Nakashima; Akira Hirabayashi; Hidemitsu Ogawa (Neural Networks, 2001)

A family of projection learnings. - Akira Hirabayashi; Hidemitsu Ogawa (Syst. Comput. Jpn., 2001)

Optimally generalizing neural networks with the ability to recover from single stuck-at r faults. - Hidekazu Iwaki; Hidemitsu Ogawa; Akira Hirabayashi (Syst. Comput. Jpn., 2002)

Signal Reconstruction by Projection Filter with Preservation of Preferential Components. - Akira Hirabayashi; Takeshi Naito (KES (3), 2006)

Torwards a general formulation for over-sampling and under-sampling. - Akira Hirabayashi; Laurent Condat (EUSIPCO, 2007)

A Compact Image Magnification Method with Preservation of Preferential Components. - Akira Hirabayashi; Laurent Condat (ICIP (5), 2007)

Image Magnification by a Compact Method with Preservation of Preferential Components. - Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Consistent Sampling and Signal Recovery. - Akira Hirabayashi; Michael Unser (IEEE Trans. Signal Process., 2007)

A study on interlaced sampling with unknown offsets. - Akira Hirabayashi; Laurent Condat (EUSIPCO, 2008)

Joint estimation of offset parameters and high-resolution images via l1-norm minimization principle. - Akira Hirabayashi (ICDSC, 2009)

Consistent Sampling and Efficient Signal Reconstruction. - Akira Hirabayashi (IEEE Signal Process. Lett., 2009)

E-spline sampling for precise and robust line-edge extraction. - Akira Hirabayashi; Pier Luigi Dragotti (ICIP, 2010)

Fast Surface Profiling by White-Light Interferometry Using Symmetric Spectral Optical Filter. - Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Reconstruction of the sequence of Diracs from noisy samples via maximum likelihood estimation. - Akira Hirabayashi; Takuya Iwami; Shuji Maeda; Yosuke Hironaga (ICASSP, 2012)

Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm. - Akira Hirabayashi; Pier Luigi Dragotti (ICIP, 2012)

Sampling and Reconstruction of Periodic Piecewise Polynomials Using Sinc Kernel. - Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Consistent Sampling and Signal Reconstruction in Noisy Under-Determined Case. - Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Approximate message passing algorithm for complex separable compressed imaging. - Akira Hirabayashi; Jumpei Sugimoto; Kazushi Mimura (APSIPA, 2013)

Recovery of nonuniformdirac pulses from noisy linear measurements. - Laurent Condat; Akira Hirabayashi; Yosuke Hironaga (ICASSP, 2013)

Sampling and recovery of continuous sparse signals by maximum likelihood estimation. - Akira Hirabayashi; Yosuke Hironaga; Laurent Condat (ICASSP, 2013)

Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation. - Akira Hirabayashi; Yosuke Hironaga; Laurent Condat (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Complex Approximate Message Passing Algorithm for Two-Dimensional Compressed Sensing. - Akira Hirabayashi; Jumpei Sugimoto; Kazushi Mimura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Consistent Sampling with Multi-, Pre- and Post-Filterings. - Akira Hirabayashi; Kil Hyun Kwon; Jaekyu Lee (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Beyond ℓ1 norm minimization - High quality recovery of non-sparse compressible signals. - Aiko Nishiyama; Yuki Yamanaka; Akira Hirabayashi; Kazushi Mimura (APSIPA, 2014)

A method for single frame super resolution with inpainting based on sparse dictionary learning. - Takuya Umehara; Kazushi Mimura; Akira Hirabayashi (APSIPA, 2014)

Improving the quality of compressed sensing MRI that exploits adjacent slice similarity. - Norihito Inamuro; Akira Hirabayashi (APSIPA, 2015)

Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity. - Naoki Nogami; Akira Hirabayashi; Jeremy White; Laurent Condat (APSIPA, 2015)

Super-resolution of positive spikes by Toeplitz low-rank approximation. - Laurent Condat; Akira Hirabayashi (EUSIPCO, 2015)

Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations. - Akira Hirabayashi; Nogami Nogami; Jeremy White; Laurent Condat (SiPS, 2015)

High-Quality Recovery of Non-Sparse Signals from Compressed Sensing - Beyond l1 Norm Minimization -. - Akira Hirabayashi; Norihito Inamuro; Aiko Nishiyama; Kazushi Mimura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Acoustic probing to estimate freshness of tomato. - Hidetomo Kataoka; Takashi Ijiri; Jeremy White; Akira Hirabayashi (APSIPA, 2016)

2-Dimensional high-quality reconstruction of compressive measurements of phased array weather radar. - Ryosuke Kawami; Akira Hirabayashi; Nobuyuki Tanaka; Motoi Shibata; Takashi Ijiri; Shigeharu Shimamura; Hiroshi Kikuchi; Gwan Kim; Tomoo Ushio (APSIPA, 2016)

High accuracy reconstruction algorithm for CS-MRI using SDMM. - Motoi Shibata; Norihito Inamuro; Takashi Ijiri; Akira Hirabayashi (APSIPA, 2016)

Sequential image completion for high-speed large-pixel number sensing. - Akira Hirabayashi; Naoki Nogami; Takashi Ijiri; Laurent Condat (EUSIPCO, 2016)

CogKnife: Food recognition from their cutting sounds. - Takamichi Kojima; Takashi Ijiri; Jeremy White; Hidetomo Kataoka; Akira Hirabayashi (ICME Workshops, 2016)

Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar. - Ryosuke Kawami; Hidetomo Kataoka; Daichi Kitahara; Akira Hirabayashi; Takashi Ijiri; Shigeharu Shimamura; Hiroshi Kikuchi; Tomoo Ushio (APSIPA, 2017)

Compressed sensing MRI using double sparsity with additional training images. - Chenmin Tang; Norihito Inamuro; Takashi Ijiri; Akira Hirabayashi (ICASSP, 2017)

Toward Large-Pixel Number High-Speed Imaging Exploiting Time and Space Sparsity. - Naoki Nogami; Akira Hirabayashi; Takashi Ijiri; Jeremy White (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Automatic spin measurements for pitched Baseballs via consumer-grade high-speed cameras. - Takashi Ijiri; Atsushi Nakamura; Akira Hirabayashi; Wataru Sakai; Takeshi Miyazaki; Ryutaro Himeno (Signal Image Video Process., 2017)

Nonlinear Beamforming via Convex Optimization for Phased Array Weather Radar. - Daichi Kitahara; Maya Nakahara; Akira Hirabayashi; Eiichi Yoshikawa; Hiroshi Kikuchi; Tomoo Ushio (APSIPA, 2018)

Acoustic Probing for Estimating the Storage Time and Firmness of Tomatoes and Mandarin Oranges. - Hidetomo Kataoka; Takashi Ijiri; Kohei Matsumura; Jeremy White; Akira Hirabayashi (CoRR, 2018)

Automatic Fundus Image Segmentation for Diabetic Retinopathy Diagnosis by Multiple Modified U-Nets and SegNets. - Swathi Ananda; Daichi Kitahara; Akira Hirabayashi; K. R. Udaya Kumar Reddy (APSIPA, 2019)

Optimization-Based Fundus Image Decomposition for Diagnosis Support of Diabetic Retinopathy. - Daichi Kitahara; Swathi Ananda; Akira Hirabayashi (APSIPA, 2019)

A Convex Lifting Approach to Image Phase Unwrapping. - Laurent Condat; Daichi Kitahara; Akira Hirabayashi (ICASSP, 2019)

One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions. - Daichi Kitahara; Laurent Condat; Akira Hirabayashi (ICASSP, 2019)

Low-Dose CT Reconstruction with Multiclass Orthogonal Dictionaries. - Hiryu Kamoshita; Taisuke Shibata; Daichi Kitahara; Ken'ichi Fujimoto; Akira Hirabayashi (ICIP, 2019)

Deep Neural Network Modeling of Distortion Stomp Box Using Spectral Features. - Kento Yoshimoto; Hiroki Kuroda; Daichi Kitahara; Akira Hirabayashi (APSIPA, 2020)

Simultaneous Spline Quantile Regression Under Shape Constraints. - Daichi Kitahara; Ke Leng; Yuji Tezuka; Akira Hirabayashi (EUSIPCO, 2020)

Image Super-Resolution via Generative Adversarial Network Using an Orthogonal Projection. - Hiroya Yamamoto; Daichi Kitahara; Akira Hirabayashi (EUSIPCO, 2020)

Non-Griffin-Lim Type Signal Recovery from Magnitude Spectrogram. - Ryusei Nakatsu; Daichi Kitahara; Akira Hirabayashi (ICASSP, 2020)

Determined Source Separation Using the Sparsity of Impulse Responses. - Yuki Takahashi; Daichi Kitahara; Koichiro Matsuura; Akira Hirabayashi (ICASSP, 2020)

Multi-Contrast CSMRI Using Common Edge Structures with LiGME Model. - Daichi Kitahara; Rikako Kato; Hiroki Kuroda; Akira Hirabayashi (EUSIPCO, 2021)

A Convex Penalty for Block-Sparse Signals with Unknown Structures. - Hiroki Kuroda; Daichi Kitahara; Akira Hirabayashi (ICASSP, 2021)

Multiclass Dictionary-Based Statistical Iterative Reconstruction for Low-Dose CT. - Hiryu Kamoshita; Daichi Kitahara; Ken'ichi Fujimoto; Laurent Condat; Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Image Super-Resolution via Generative Adversarial Networks Using Metric Projections onto Consistent Sets for Low-Resolution Inputs. - Hiroya Yamamoto; Daichi Kitahara; Hiroki Kuroda; Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Nonlinear Beamforming Based on Group-Sparsities of Periodograms for Phased Array Weather Radar. - Daichi Kitahara; Hiroki Kuroda; Akira Hirabayashi; Eiichi Yoshikawa; Hiroshi Kikuchi; Tomoo Ushio (IEEE Trans. Geosci. Remote. Sens., 2022)

Modal Interval Regression Based on Spline Quantile Regression. - Sai Yao; Daichi Kitahara; Hiroki Kuroda; Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists. - Laurent Condat; Daichi Kitahara; Andrés Contreras; Akira Hirabayashi (SIAM Rev., 2023)