University of Tsukuba

∙ Tsukuba-shi , Japan ∙ 0 followers

The University of Tsukuba, located in Tsukuba, Ibaraki, is one of the oldest national universities and one of the most comprehensive research universities in Japan.

Generate (non-software) Bugs to Fool Classifiers

In adversarial attacks intended to confound deep learning models, most s...
11/20/2019 ∙ by Hiromu Yakura, et al. ∙ 17 ∙ share

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Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models

This paper addresses the problem of generating table captions for schola...
08/18/2021 ∙ by Junjie H. Xu, et al. ∙ 17 ∙ share

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Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval

We propose an efficient pipeline for large-scale landmark image retrieva...
03/25/2020 ∙ by Shuhei Yokoo, et al. ∙ 7 ∙ share

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Few-shot Semantic Image Synthesis Using StyleGAN Prior

This paper tackles a challenging problem of generating photorealistic im...
03/27/2021 ∙ by Yuki Endo, et al. ∙ 6 ∙ share

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Computation harvesting in road traffic dynamics

Owing to recent advances in artificial intelligence and internet of thin...
11/21/2020 ∙ by Hiroyasu Ando, et al. ∙ 4 ∙ share

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Relighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images

Relighting of human images has various applications in image synthesis. ...
08/07/2019 ∙ by Yoshihiro Kanamori, et al. ∙ 2 ∙ share

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Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models

We consider classifiers for high-dimensional data under the strongly spi...
10/30/2017 ∙ by Makoto Aoshima, et al. ∙ 0 ∙ share

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Support vector machine and its bias correction in high-dimension, low-sample-size settings

In this paper, we consider asymptotic properties of the support vector m...
02/26/2017 ∙ by Yugo Nakayama, et al. ∙ 0 ∙ share

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Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization

We study large-scale classification problems in changing environments wh...
06/01/2016 ∙ by Hiroyuki Hanada, et al. ∙ 0 ∙ share

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A very fast iterative algorithm for TV-regularized image reconstruction with applications to low-dose and few-view CT

This paper concerns iterative reconstruction for low-dose and few-view C...
09/20/2016 ∙ by Hiroyuki Kudo, et al. ∙ 0 ∙ share

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Proposal of fault-tolerant tomographic image reconstruction

This paper deals with tomographic image reconstruction under the situati...
09/20/2016 ∙ by Hiroyuki Kudo, et al. ∙ 0 ∙ share

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Piecewise-Linear Approximation for Feature Subset Selection in a Sequential Logit Model

This paper concerns a method of selecting a subset of features for a seq...
10/19/2015 ∙ by Toshiki Sato, et al. ∙ 0 ∙ share

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Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences

Fairness-aware learning is a novel framework for classification tasks. L...
06/25/2015 ∙ by Kazuto Fukuchi, et al. ∙ 0 ∙ share

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High-dimensional quadratic classifiers in non-sparse settings

We consider high-dimensional quadratic classifiers in non-sparse setting...
03/16/2015 ∙ by Makoto Aoshima, et al. ∙ 0 ∙ share

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Nonlinear dance motion analysis and motion editing using Hilbert-Huang transform

Human motions (especially dance motions) are very noisy, and it is hard ...
07/06/2017 ∙ by Ran Dong, et al. ∙ 0 ∙ share

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A Systematic Literature Review of Experiments in Socially Assistive Robotics using Humanoid Robots

We perform a Systematic Literature Review to discover how Humanoid robot...
11/15/2017 ∙ by Floris Erich, et al. ∙ 0 ∙ share

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Algebraic Local Cohomology with Parameters and Parametric Standard Bases for Zero-Dimensional Ideals

A computation method of algebraic local cohomology with parameters, asso...
08/27/2015 ∙ by Katsusuke Nabeshima, et al. ∙ 0 ∙ share

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Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case

This paper addresses an estimation problem of an additive functional of ...
01/12/2018 ∙ by Kazuto Fukuchi, et al. ∙ 0 ∙ share

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Fast Algorithm for Calculating the Minimal Annihilating Polynomials of Matrices via Pseudo Annihilating Polynomials

We propose a efficient method to calculate "the minimal annihilating pol...
01/25/2018 ∙ by Shinichi Tajima, et al. ∙ 0 ∙ share

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Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule

This paper explores the use of the standard approach for proving runtime...
02/09/2018 ∙ by Youhei Akimoto, et al. ∙ 0 ∙ share

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Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms

Embedding graph nodes into a vector space can allow the use of machine l...
02/18/2018 ∙ by Kento Nozawa, et al. ∙ 0 ∙ share

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Spectral feature scaling method for supervised dimensionality reduction

Spectral dimensionality reduction methods enable linear separations of c...
05/18/2018 ∙ by Momo Matsuda, et al. ∙ 0 ∙ share

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Sample Reuse via Importance Sampling in Information Geometric Optimization

In this paper we propose a technique to reduce the number of function ev...
05/31/2018 ∙ by Shinichi Shirakawa, et al. ∙ 0 ∙ share

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A Method Based on Convex Cone Model for Image-Set Classification with CNN Features

In this paper, we propose a method for image-set classification based on...
05/31/2018 ∙ by Naoya Sogi, et al. ∙ 0 ∙ share

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Text Classification based on Word Subspace with Term-Frequency

Text classification has become indispensable due to the rapid increase o...
06/08/2018 ∙ by Erica K. Shimomoto, et al. ∙ 0 ∙ share

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Learning to Automatically Generate Fill-In-The-Blank Quizzes

In this paper we formalize the problem automatic fill-in-the-blank quest...
06/12/2018 ∙ by Edison Marrese-Taylor, et al. ∙ 0 ∙ share

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A Purely Functional Computer Algebra System Embedded in Haskell

We demonstrate how methods in Functional Programming can be used to impl...
07/04/2018 ∙ by Hiromi Ishii, et al. ∙ 0 ∙ share

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BayesGrad: Explaining Predictions of Graph Convolutional Networks

Recent advances in graph convolutional networks have significantly impro...
07/04/2018 ∙ by Hirotaka Akita, et al. ∙ 0 ∙ share

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Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network

Black box discrete optimization (BBDO) appears in wide range of engineer...
09/18/2018 ∙ by Kouhei Nishida, et al. ∙ 0 ∙ share

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Ranking Based Linear Constraint Handling Method with Adaptive Penalty

A novel linear constraint handling technique for the covariance matrix a...
11/02/2018 ∙ by Naoki Sakamoto, et al. ∙ 0 ∙ share

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Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples

How can we make machine learning provably robust against adversarial exa...
11/20/2018 ∙ by Hajime Ono, et al. ∙ 0 ∙ share

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Fast Algorithms for Computing Eigenvectors of Matrices via Pseudo Annihilating Polynomials

An efficient algorithm for computing eigenvectors of a matrix of integer...
11/22/2018 ∙ by Shinichi Tajima, et al. ∙ 0 ∙ share

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Minimax Optimal Additive Functional Estimation with Discrete Distribution

This paper addresses a problem of estimating an additive functional give...
11/28/2018 ∙ by Kazuto Fukuchi, et al. ∙ 0 ∙ share

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Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module

Recently, deep convolutional neural networks have shown good results for...
12/25/2018 ∙ by Yusei Miura, et al. ∙ 0 ∙ share

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On Optimal Locally Repairable Codes with Super-Linear Length

Locally repairable codes which are optimal with respect to the bound pre...
12/31/2018 ∙ by Han Cai, et al. ∙ 0 ∙ share

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Robust Watermarking of Neural Network with Exponential Weighting

Deep learning has been achieving top performance in many tasks. Since tr...
01/18/2019 ∙ by Ryota Namba, et al. ∙ 0 ∙ share

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Data collaboration analysis for distributed datasets

In this paper, we propose a data collaboration analysis method for distr...
02/20/2019 ∙ by Akira Imakura, et al. ∙ 0 ∙ share

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Constrained Mutual Convex Cone Method for Image Set Based Recognition

In this paper, we propose a method for image-set classification based on...
03/14/2019 ∙ by Naoya Sogi, et al. ∙ 0 ∙ share

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InvisibleWriteRule: the sufficient condition for safely omittable write operations in concurrency control

Concurrency Control (CC) is the heart of the correctness and is the curr...
04/17/2019 ∙ by Sho Nakazono, et al. ∙ 0 ∙ share

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Data Augmentation Using GANs

In this paper we propose the use of Generative Adversarial Networks (GAN...
04/19/2019 ∙ by Fabio Henrique Kiyoiti dos Santos Tanaka, et al. ∙ 0 ∙ share

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On optimal weak algebraic manipulation detection codes and weighted external difference families

This paper provides a characterization of weak algebraic manipulation de...
05/04/2019 ∙ by Minfeng Shao, et al. ∙ 0 ∙ share

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Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies

We introduce an acceleration for covariance matrix adaptation evolution ...
05/14/2019 ∙ by Youhei Akimoto, et al. ∙ 0 ∙ share

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ROI Regularization for Semi-supervised and Supervised Learning

We propose ROI regularization (ROIreg) as a semi-supervised learning met...
05/15/2019 ∙ by Hiroshi Kaizuka, et al. ∙ 0 ∙ share

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Effect of shapes of activation functions on predictability in the echo state network

We investigate prediction accuracy for time series of Echo state network...
05/22/2019 ∙ by Hanten Chang, et al. ∙ 0 ∙ share

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Signature codes for weighted binary adder channel and multimedia fingerprinting

In this paper, we study the signature codes for weighted binary adder ch...
05/24/2019 ∙ by Jinping Fan, et al. ∙ 0 ∙ share

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Locally Differentially Private Minimum Finding

We investigate a problem of finding the minimum, in which each user has ...
05/27/2019 ∙ by Kazuto Fukuchi, et al. ∙ 0 ∙ share

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Scaling Fine-grained Modularity Clustering for Massive Graphs

Modularity clustering is an essential tool to understand complicated gra...
05/27/2019 ∙ by Hiroaki Shiokawa, et al. ∙ 0 ∙ share

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Probabilistic Existence Results for Parent-Identifying Schemes

Parent-identifying schemes provide a way to identify causes from effects...
06/03/2019 ∙ by Yujie Gu, et al. ∙ 0 ∙ share

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Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset

The Google-Landmarks-v2 dataset is the biggest worldwide landmarks datas...
06/10/2019 ∙ by Kohei Ozaki, et al. ∙ 0 ∙ share

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Classification of EEG Signals using Genetic Programming for Feature Construction

The analysis of electroencephalogram (EEG) waves is of critical importan...
06/11/2019 ∙ by Icaro Marcelino Miranda, et al. ∙ 0 ∙ share

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