Shiro Ikeda

Latest

Blind Deconvolution with Non-smooth Regularization via Bregman Proximal DCAs
ALMA Super-resolution Imaging of T Tau: r = 12 au Gap in the Compact Dust Disk around T Tau NA
A data-scientific noise-removal method for efficient submillimeter spectroscopy with single-dish telescopes
A data-scientific noise-removal method for efficient submillimeter spectroscopy with single-dish telescopes
Three-Dimensional Reconstruction of Weak Lensing Mass Maps with a Sparsity Prior. I. Cluster Detection
Three-dimensional Reconstruction of Weak-lensing Mass Maps with a Sparsity Prior. I. Cluster Detection
Extracting common signal components from the X-ray and optical light curves of GX 339-4: new view for anti-correlation
Noise reduction for weak lensing mass mapping: an application of generative adversarial networks to Subaru Hyper Suprime-Cam first-year data
Extracting common signal components from the X-ray and optical light curves of GX 339-4: new view for anti-correlation
Noise reduction for weak lensing mass mapping: An application of generative adversarial networks to Subaru Hyper Suprime-Cam first-year data
Relationship between radar cross section and optical magnitude based on radar and optical simultaneous observations of faint meteors
Feature selection for classification of blazars based on optical photometric and polarimetric time-series data
Search for Alignment of Disk Orientations in Nearby Star-forming Regions: Lupus, Taurus, Upper Scorpius, ρ Ophiuchi, and Orion
Feature selection for classification of blazars based on optical photometric and polarimetric time-series data
Super-resolution Imaging of the Protoplanetary Disk HD 142527 Using Sparse Modeling
An optical search for transients lasting a few seconds
Amino-acid selective isotope labeling enables simultaneous overlapping signal decomposition and information extraction from NMR spectra
New Constraint on the Atmosphere of (50000) Quaoar from a Stellar Occultation
A concept for X-ray telescope system with an angular-resolution booster
Denoising Weak Lensing Mass Maps with Deep Learning
The Hyper Suprime-Cam SSP Transient Survey in COSMOS: Overview
An image reconstruction method for X-ray telescope system with an angular resolution booster
Luminosity function of faint sporadic meteors measured with a wide-field CMOS mosaic camera Tomo-e PM
Acceleration of the Sparse Modeling imaging tool for ALMA radio interferometric data
Faraday tomography with sparse modeling
Image reconstruction method for an X-ray telescope with an angular resolution booster
New synthesis imaging tool for ALMA based on the sparse modeling
Super-resolution imaging of the protoplanetary disk HD 142527 using sparse modeling
Evaluation of large pixel CMOS image sensors for the Tomo-e Gozen wide field camera
The Tomo-e Gozen wide field CMOS camera for the Kiso Shmidt telescope
Superresolution interferometric imaging with sparse modeling using total squared variation -- Application to imaging the black hole shadow
``Slow-scanning'' in ground-based mid-infrared observations
Exhaustive search for sparse variable selection in linear regression
New method of eclipse mapping and an application to HT Cas in the 2017 superoutburst
Accelerating cross-validation with total variation and its application to super-resolution imaging
Imaging the Schwarzschild-radius-scale Structure of M87 with the Event Horizon Telescope using Sparse Modeling
Superresolution full-polarimetric imaging for radio interferometry with sparse modeling
Application of data science techniques to disentangle X-ray spectral variation of super-massive black holes
Data compression for the Tomo-e Gozen using low-rank matrix approximation
Improved in-cell structure determination of proteins at near-physiological concentration
Rate-distortion functions for gamma-type sources under absolute-log distortion measure
Development of a prototype of the Tomo-e Gozen wide-field CMOS camera
Development of a real-time data processing system for a prototype of the Tomo-e Gozen wide field CMOS camera
Maximum-expectation matching under recourse
Data-driven approach to Type Ia supernovae: variable selection on the peak luminosity and clustering in visual analytics
Imaging black holes with sparse modeling
Machine-Learning selection of optical transients in Subaru/Hyper Suprime-Cam survey
PRECL: A new method for interferometry imaging from closure phase
Protein NMR structure refinement based on Bayesian inference
Risk assessment of radioisotope contamination for aquatic living resources in and around Japan
Sparse modeling for astronomical data analysis
Sparsely extracting stored movements to construct interfaces for humanoid end-effector control
Supernova candidates discovered with Subaru/Hyper Suprime-Cam
An asymmetric logistic regression model for ecological data
Sparsity and information processing
Entropic risk minimization for nonparametric estimation of mixing distributions
Variable selection for modeling the absolute magnitude at maximum of Type Ia supernovae
Bin mode estimation methods for Compton camera imaging
Channel capacity and achievable rates of peak power limited AWGNC, and their applications to adaptive modulation and coding
Super-resolution imaging with radio interferometry using sparse modeling
Compton camera imaging
Introduction to the issue on differential geometry in signal processing
Optimization of probability measure and its applications in information theory
Rate-distortion function for gamma sources under absolute-log distortion measure
Convex formulation for nonparametric estimation of mixing distribution
Phase retrieval from single biomolecule diffraction pattern
An Introductory Review of Information Theory in the Context of Computational Neuroscience
Sparse Phase Retrieval
Combining binary machines for multi-class: Statistical model and parameter estimation
Motor planning as an optimization of command representation
Capacity of a Single Spiking Neuron Channel
Capacity of a single spiking neuron
Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception
Capacity of a single neuron channel
Capacity of a Single Neuron Channel
Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception
A game theoretical analysis of combining classifiers for multi-class classification problems
Improving mobile reception of digital satellite broadcasting
Motor planning as an optimization of command representation
Motor Planning and Sparse Motor Command Representation
A bridge between boosting and a kernel machine
Learning binary classifiers for multi-class problem
Motor Planning and Sparse Motor Command Representation
Motor Planning Based on Sparse Command Representation
Motor Planning and Sparse Motor Command Representation
Sparse representation and piece-wise linear kernel
Sparse representation and piece-wise linear kernel
Information geometry of turbo and LDPC codes
Information Geometry for Turbo Decoding
Stochastic reasoning, free energy, and information geometry
Information geometry of turbo and low-density parity-check codes
EM Algorithm in Neural Network Learning
Stochastic Reasoning, Free Energy and Information Geometry
Information Geometry of Loopy BP
Combined Approach of Array Processing and Independent Component Analysis for Blind Separation of Acoustic Signals
Biosignal measuring method and apparatus
Information Geometry of Turbo and Low-Density Parity-Check Codes
Information Geometry of Turbo Codes
Information Geometrical Framework for Analyzing Belief Propagation Decoder
Information-geometrical significance of sparsity in Gallager codes
Belief propagation and turbo code: Information geometrical view
An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals
Blind source separation in reflective sound fields
Blind source separation in reflective sound fields
Information Geometry and Mean Field Approximation: The α-projection Approach
Independent Component Analysis for Noisy Data --MEG data analysis
Motion Adaptation Depresses Perception of Contour from Motion and Magnetoencephlographic (MEG) Responses in V2/3 and V5
Separation of MEG Signal by Independent Component Analysis
ICA for noisy neurobiological data
Evaluation and Real-time implementation of blind source separation system using time-delayed decorrelation
Factor Analysis Preprocessing for ICA
ICA on Noisy Data: A Factor Analysis Approach
Information Geometry and Mean Field Approximation: The α-projection Approach
ICA for noisy neurobiological data
Acceleration of the EM algorithm
Application of independent component analysis (ICA) to magnetoencephalography
Combining Independent Component Analysis and Sound Stream Segregation
A method of ICA in time-frequency domain
Convergence of the Wake-Sleep Algorithm
A method of blind separation based on temporal structure of signals
A On-line Algorithm for Blind Source Separation on Speech Signals
An Approach to Blind Source Separation of Speech Signals
An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals
Acceleration of the EM algorithm
A Self-Organizing System with Cell-Specialization
Construct The Structure of Stochastic Multilayer Perceptron Using The Model Search Method
A Learning Machine That Evolves
Estimate The Source Structure Through Communication
Construction of Phoneme Models --- Model Search of Hidden Markov Models ---
A Robot Organizing Purposive Behavior by Itself