- 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

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