Tomoya Sakai

Mamoru Mitsuishi, Tomoya Sakai, Naohiko Sugita, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robust modal regression with direct gradient approximation of modal regression risk

Tomoya Sakai, Takafumi Kanamori, Hiroaki Sasaki, 2020, UAI.

Randomized algorithm of spectral clustering and image/video segmentation using a minority of pixels

Atsushi Imiya, Tomoya Sakai, A. Imiya, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Scale-Space Hierarchy of Singularities

Atsushi Imiya, Tomoya Sakai, 2005, DSSCV.

Validation of Watershed Regions by Scale-Space Statistics

Atsushi Imiya, Tomoya Sakai, 2009, SSVM.

Sequential decomposition of 2D apparent motion fields based on low-rank and sparse approximation

Tomoya Sakai, Hiroki Kuhara, Shun Ogawa, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Learning high-dimensional nonlinear mapping via compressed sensing

Tomoya Sakai, Daisuke Miyata, T. Sakai, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation

Atsushi Imiya, Tomoya Sakai, Yoshihiko Mochizuki, 2010, 2010 20th International Conference on Pattern Recognition.

Gradient Structure of Image in Scale Space

Atsushi Imiya, Tomoya Sakai, 2007, Journal of Mathematical Imaging and Vision.

Multilinear Methods for Spatio-Temporal Image Recognition

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2017, CAIP.

Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2016, NIPS.

Hierarchical Properties of Multi-resolution Optical Flow Computation

Atsushi Imiya, Tomoya Sakai, Yusuke Kameda, 2012, ECCV Workshops.

Relaxed Optimisation for Tensor Principal Component Analysis and Applications to Recognition, Compression and Retrieval of Volumetric Shapes

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2016 .

Two Step Variational Method for Subpixel Optical Flow Computation

Atsushi Imiya, Tomoya Sakai, Yoshihiko Mochizuki, 2009, ISVC.

Social Media Mediation System for Elderly People: Message Exchange Learning Type Switching Method

Tomoya Sakai, Kenichi Arai, Makoto Fujimura, 2016, 2016 19th International Conference on Network-Based Information Systems (NBiS).

20213 Position and force control of 2-link arm by virtual impedance

Tomoya Sakai, Hiroaki Uchida, 2015 .

Unification of Multichannel Motion Feature Using Boolean Polynomial

Atsushi Imiya, Tomoya Sakai, Naoya Ohnishi, 2009, ISVC.

3A1-G02 Development of Miniature Parallel Robot for Eye Surgery(Medical Robotics and Mechatronics (1))

Kanako Harada, Mamoru Mitsuishi, Tomoya Sakai, 2014 .

Uncalibrated Visual Servoing for Autonomous 2-D Positioning of Vitreoretinal Surgical Robot

Kanako Harada, Mamoru Mitsuishi, Tomoya Sakai, 2015 .

Multiple pattern classification by sparse subspace decomposition

Tomoya Sakai, T. Sakai, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

On-line Planar Area Segmentation from Sequence of Monocular Monochrome Images for Visual Navigation of Autonomous Robot

Atsushi Imiya, Tomoya Sakai, Yoshihiko Mochizuki, 2010, VISAPP.

The Mean Boundary Curve of Anatomical Objects

Hidekata Hontani, Atsushi Imiya, Tomoya Sakai, 2012, ACIVS.

Emotion-Cluster Classification of Infant Cries Using Sparse Representation

Tomoya Sakai, Shoichi Matsunaga, Masaru Yamashita, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Theoretical Comparisons of Learning from Positive-Negative, Positive-Unlabeled, and Negative-Unlabeled Data pdf

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2016, ArXiv.

Fast Spectral Clustering with Random Projection and Sampling

Atsushi Imiya, Tomoya Sakai, A. Imiya, 2009, MLDM.

Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2016, ICML.

Extraction of abnormal lung sounds via sparse representation

Tomoya Sakai, Senya Kiyasu, Sueharu Miyahara, 2011 .

Robust modal regression with direct log-density derivative estimation pdf

Tomoya Sakai, Takafumi Kanamori, Hiroaki Sasaki, 2019, ArXiv.

Classification of Volumetric Data Using Multiway Data Analysis

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2016, S+SSPR.

Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds

Tomoya Sakai, Masashi Sugiyama, Hiroaki Sasaki, 2017, AISTATS.

PDE-Based Image Processing (2)

Tomoya Sakai, 2006 .

Signal Processing for Lung-Sound Recognition : Separation and Classification of Continuous and Discontinuous Adventitious Sounds

Tomoya Sakai, Mikio Oka, Senya Kiyasu, 2014 .

Pattern recognition in multilinear space and its applications: mathematics, computational algorithms and numerical validations

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2016, Machine Vision and Applications.

Hierarchical Tree of Image Derived by Diffusion Filtering

Atsushi Imiya, Tomoya Sakai, Haruhiko Nishiguchi, 2006, IWCIA.

Subvoxel Super-Resolution of Volumetric Motion Field Using General Order Prior

Atsushi Imiya, Tomoya Sakai, Koji Kashu, 2011, ISVC.

Critical Scale for Unsupervised Cluster Discovery

Atsushi Imiya, Tomoya Sakai, Takuto Komazaki, 2007, MLDM.

Beyond the Low-density Separation Principle: A Novel Approach to Semi-supervised Learning pdf

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2016, ArXiv.

Scale Space Hierarchy of Segments

Atsushi Imiya, Tomoya Sakai, Haruhiko Nishiguchi, 2009, CAIP.

Figure Field Analysis of Linear Scale-Space Image

Atsushi Imiya, Tomoya Sakai, A. Imiya, 2005, Scale-Space.

Variational method for super-resolution optical flow

Atsushi Imiya, Tomoya Sakai, Yoshihiko Mochizuki, 2011, Signal Process..

Continuity Order of Local Displacement in Volumetric Image Sequence

Atsushi Imiya, Tomoya Sakai, Yusuke Kameda, 2010, WBIR.

OS1224 Trajectory Following Control of Position and Force for Two Links Manipulator

Tomoya Sakai, Hiroaki Uchida, 2016 .

Binary Matrix Completion Using Unobserved Entries pdf

Tomoya Sakai, Masashi Sugiyama, Masayoshi Hayashi, 2018, ArXiv.

Unsupervised cluster discovery using statistics in scale space

Atsushi Imiya, Tomoya Sakai, A. Imiya, 2009, Eng. Appl. Artif. Intell..

Distances Between Tensor Subspaces

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2018, APPIS.

Regret Minimization for Causal Inference on Large Treatment Space pdf

Tomoya Sakai, Hisashi Kashima, Takashi Takenouchi, 2020, ArXiv.

Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space

Atsushi Imiya, Tomoya Sakai, 2004, ECCV Workshops CVAMIA and MMBIA.

Scale-Space Clustering on the Sphere

Atsushi Imiya, Tomoya Sakai, Yoshihiko Mochizuki, 2013, CAIP.

Global Image Registration by Fast Random Projection

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2011, ISVC.

Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags pdf

Tomoya Sakai, Masashi Sugiyama, Han Bao, 2017, ArXiv.

Similarity-Based Pattern Recognition

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2013, Lecture Notes in Computer Science.

Interpolation of Reference Images in Sparse Dictionary for Global Image Registration

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2012, ISVC.

Mathematical Aspects of Tensor Subspace Method

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2016, S+SSPR.

Local Affine Optical Flow Computation

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2013, PSIVT Workshops.

Bifurcation of Segment Edge Curves in Scale Space

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2011, SSVM.

Dimension Reduction Methods for Image Pattern Recognition

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2013, SIMBAD.

Volumetric Image Pattern Recognition Using Three-Way Principal Component Analysis

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2016, SeSAMI@MICCAI.

Temporal Structure Tree in Digital Linear Scale Space

Atsushi Imiya, Yuichiro Kato, Tomoya Sakai, 2003, Scale-Space.

Social Media Mediation System for Closing Inter-Generational Communication Gap

Tomoya Sakai, Kenichi Arai, Makoto Fujimura, 2016, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).

Combinatorial Properties of Scale Space Singular Points

Atsushi Imiya, Tomoya Sakai, A. Imiya, 2006, IWCIA.

Fast Approximate Karhunen-Loève Transform for Three-Way Array Data

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Analysis of Multilinear Subspaces Based on Geodesic Distance

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2017, CAIP.

Optical Flow Computation from an Asynchronised Multiresolution Image Sequence

Atsushi Imiya, Tomoya Sakai, Yusuke Kameda, 2009, ISVC.

Multiscale Analysis of Volumetric Motion Field Using General Order Prior

Atsushi Imiya, Tomoya Sakai, Koji Kashu, 2010, ISVC.

Dimension Reduction and Construction of Feature Space for Image Pattern Recognition

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2016, Journal of Mathematical Imaging and Vision.

Laplacian Based Non-Linear Diffusion Filtering

Atsushi Imiya, Tomoya Sakai, Haruhiko Nishiguchi, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Semi-supervised AUC optimization based on positive-unlabeled learning

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2017, Machine Learning.

Robust detection of adventitious lung sounds in electronic auscultation signals

Tomoya Sakai, Senya Kiyasu, Sueharu Miyahara, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Sparse representation-based extraction of pulmonary sound components from low-quality auscultation signals

Tomoya Sakai, Senya Kiyasu, Sueharu Miyahara, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tree-Based Tracking of Temporal Image

Atsushi Imiya, Tomoya Sakai, Heitoh Zen, 2005, GbRPR.

Semi-supervised AUC optimization based on positive-unlabeled learning

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2017, Machine Learning.

Monte Carlo subspace method: An incremental approach to high-dimensional data classification

Tomoya Sakai, 2008, 2008 19th International Conference on Pattern Recognition.

Multi-level Optimization of Matrix Multiplication for GPU-equipped Systems

Tomoya Sakai, Stanislav G. Sedukhin, Naohito Nakasato, 2011, ICCS.

Statistically Valid Graph Representations of Scale-Space Geometry

Atsushi Imiya, Tomoya Sakai, 2008, ICISP.

Registration of infrared transmission images using squared-loss mutual information

Tomoya Sakai, Masashi Sugiyama, Kazuyoshi Suzuki, 2015 .

Global Volumetric Image Registration Using Local Linear Property of Image Manifold

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2014, ACCV Workshops.

Practical Algorithms of Spectral Clustering: Toward Large-Scale Vision-Based Motion Analysis

Atsushi Imiya, Tomoya Sakai, A. Imiya, 2011 .

Computationally Efficient Estimation of Squared-Loss Mutual Information with Multiplicative Kernel Models

Tomoya Sakai, Masashi Sugiyama, 2014, IEICE Trans. Inf. Syst..

Do We Need Zero Training Loss After Achieving Zero Training Error?

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2020, ICML.

Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method

Atsushi Imiya, Tomoya Sakai, Yoshihiko Mochizuki, 2009, EMMCVPR.

Estimation of Squared-Loss Mutual Information from Positive and Unlabeled Data pdf

Gang Niu, Tomoya Sakai, Masashi Sugiyama, 2017, ArXiv.

Convex formulation of multiple instance learning from positive and unlabeled bags

Tomoya Sakai, Masashi Sugiyama, Han Bao, 2017, Neural Networks.

Qualitative Descriptions of Image in the Gaussian Scale-Space

Atsushi Imiya, Tomoya Sakai, 2005 .

Low Energy Requirements for WebPush

Tomoya Sakai, Herve Ruellan, Kensuke Yasuma, 2015 .

Shape Reconstruction by Line Voting in Discrete Space

Atsushi Imiya, Kosuke Sato, Tomoya Sakai, 2006, ISVC.

Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors pdf

Tomoya Sakai, 2021, ArXiv.

Image Hierarchy in Gaussian Scale Space

Atsushi Imiya, Tomoya Sakai, Haruhiko Nishiguchi, 2011 .

Two-Dimensional Global Image Registration Using Local Linear Property of Image Manifold

Atsushi Imiya, Hayato Itoh, Tomoya Sakai, 2014, 2014 22nd International Conference on Pattern Recognition.